Upload folder using huggingface_hub
Browse files- config.json +25 -0
- generation_config.json +7 -0
- pytorch_model-00001-of-00006.bin +3 -0
- pytorch_model-00002-of-00006.bin +3 -0
- pytorch_model-00003-of-00006.bin +3 -0
- pytorch_model-00004-of-00006.bin +3 -0
- pytorch_model-00005-of-00006.bin +3 -0
- pytorch_model-00006-of-00006.bin +3 -0
- pytorch_model.bin.index.json +410 -0
- special_tokens_map.json +24 -0
- tokenizer.model +3 -0
- tokenizer_config.json +34 -0
- trainer_state.json +817 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/workspace/airoboros-13b-gpt4",
|
3 |
+
"architectures": [
|
4 |
+
"LlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"bos_token_id": 0,
|
7 |
+
"eos_token_id": 1,
|
8 |
+
"hidden_act": "silu",
|
9 |
+
"hidden_size": 5120,
|
10 |
+
"initializer_range": 0.02,
|
11 |
+
"intermediate_size": 13824,
|
12 |
+
"max_position_embeddings": 2048,
|
13 |
+
"max_seq_len": 4096,
|
14 |
+
"max_sequence_length": 2048,
|
15 |
+
"model_type": "llama",
|
16 |
+
"num_attention_heads": 40,
|
17 |
+
"num_hidden_layers": 40,
|
18 |
+
"pad_token_id": -1,
|
19 |
+
"rms_norm_eps": 1e-06,
|
20 |
+
"tie_word_embeddings": false,
|
21 |
+
"torch_dtype": "float32",
|
22 |
+
"transformers_version": "4.29.2",
|
23 |
+
"use_cache": false,
|
24 |
+
"vocab_size": 32000
|
25 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 0,
|
4 |
+
"eos_token_id": 1,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.29.2"
|
7 |
+
}
|
pytorch_model-00001-of-00006.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a1da4566a32f37bc0cbde77925aa701ac2702439a968a051de7a88cf9cdca285
|
3 |
+
size 9956543883
|
pytorch_model-00002-of-00006.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ffb59fbf7a23b7c0b50aed2f0c05dcd84505af43cbe73feac66a9827dc2fa072
|
3 |
+
size 9940856385
|
pytorch_model-00003-of-00006.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d518dd4cecbe69d2ac1feb9f1264325bedc8a6a34eeaa9d993fe3b62c0be6712
|
3 |
+
size 9940856943
|
pytorch_model-00004-of-00006.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:abc7ff33c05a5d3c184df78d5d9c48c20ca5adf671e5addcb4d0a3230617cb74
|
3 |
+
size 9867415289
|
pytorch_model-00005-of-00006.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4fe8132cd353517b6a8a4039aeb66c3952e1765f01b09af996080a1052415e9c
|
3 |
+
size 9867456961
|
pytorch_model-00006-of-00006.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b8bce38825ac82721bb81962ec76efdd21470fb9eb31aa498d3e1948687fe5ad
|
3 |
+
size 2490476207
|
pytorch_model.bin.index.json
ADDED
@@ -0,0 +1,410 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 52063467520
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "pytorch_model-00006-of-00006.bin",
|
7 |
+
"model.embed_tokens.weight": "pytorch_model-00001-of-00006.bin",
|
8 |
+
"model.layers.0.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
|
16 |
+
"model.layers.0.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
|
17 |
+
"model.layers.0.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
|
18 |
+
"model.layers.1.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
19 |
+
"model.layers.1.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
|
20 |
+
"model.layers.1.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
|
21 |
+
"model.layers.1.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
|
22 |
+
"model.layers.1.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
23 |
+
"model.layers.1.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
|
24 |
+
"model.layers.1.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
|
25 |
+
"model.layers.1.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
|
26 |
+
"model.layers.1.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
|
27 |
+
"model.layers.1.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
|
28 |
+
"model.layers.10.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
29 |
+
"model.layers.10.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
|
30 |
+
"model.layers.10.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
|
31 |
+
"model.layers.10.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
|
32 |
+
"model.layers.10.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
33 |
+
"model.layers.10.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
|
34 |
+
"model.layers.10.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
|
35 |
+
"model.layers.10.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
|
36 |
+
"model.layers.10.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
|
37 |
+
"model.layers.10.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
|
38 |
+
"model.layers.11.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
39 |
+
"model.layers.11.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
|
40 |
+
"model.layers.11.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
|
41 |
+
"model.layers.11.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
|
42 |
+
"model.layers.11.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
43 |
+
"model.layers.11.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
|
44 |
+
"model.layers.11.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
|
45 |
+
"model.layers.11.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
|
46 |
+
"model.layers.11.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
|
47 |
+
"model.layers.11.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
|
48 |
+
"model.layers.12.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
49 |
+
"model.layers.12.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
|
50 |
+
"model.layers.12.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
|
51 |
+
"model.layers.12.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
|
52 |
+
"model.layers.12.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
53 |
+
"model.layers.12.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
|
54 |
+
"model.layers.12.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
|
55 |
+
"model.layers.12.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
|
56 |
+
"model.layers.12.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
|
57 |
+
"model.layers.12.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
|
58 |
+
"model.layers.13.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
59 |
+
"model.layers.13.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
|
60 |
+
"model.layers.13.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
|
61 |
+
"model.layers.13.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
|
62 |
+
"model.layers.13.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
63 |
+
"model.layers.13.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
|
64 |
+
"model.layers.13.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
|
65 |
+
"model.layers.13.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
|
66 |
+
"model.layers.13.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
|
67 |
+
"model.layers.13.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
|
68 |
+
"model.layers.14.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
69 |
+
"model.layers.14.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
|
70 |
+
"model.layers.14.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
|
71 |
+
"model.layers.14.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
|
72 |
+
"model.layers.14.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
73 |
+
"model.layers.14.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
|
74 |
+
"model.layers.14.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
|
75 |
+
"model.layers.14.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
|
76 |
+
"model.layers.14.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
|
77 |
+
"model.layers.14.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
|
78 |
+
"model.layers.15.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
79 |
+
"model.layers.15.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
|
80 |
+
"model.layers.15.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
|
81 |
+
"model.layers.15.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
|
82 |
+
"model.layers.15.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
83 |
+
"model.layers.15.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
|
84 |
+
"model.layers.15.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
|
85 |
+
"model.layers.15.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
|
86 |
+
"model.layers.15.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
|
87 |
+
"model.layers.15.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
|
88 |
+
"model.layers.16.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
89 |
+
"model.layers.16.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
|
90 |
+
"model.layers.16.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
|
91 |
+
"model.layers.16.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
|
92 |
+
"model.layers.16.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
93 |
+
"model.layers.16.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
|
94 |
+
"model.layers.16.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
|
95 |
+
"model.layers.16.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
|
96 |
+
"model.layers.16.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
|
97 |
+
"model.layers.16.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
|
98 |
+
"model.layers.17.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
99 |
+
"model.layers.17.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
|
100 |
+
"model.layers.17.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
|
101 |
+
"model.layers.17.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
|
102 |
+
"model.layers.17.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
103 |
+
"model.layers.17.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
|
104 |
+
"model.layers.17.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
|
105 |
+
"model.layers.17.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
|
106 |
+
"model.layers.17.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
|
107 |
+
"model.layers.17.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
|
108 |
+
"model.layers.18.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
109 |
+
"model.layers.18.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
|
110 |
+
"model.layers.18.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
|
111 |
+
"model.layers.18.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
|
112 |
+
"model.layers.18.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
113 |
+
"model.layers.18.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
|
114 |
+
"model.layers.18.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
|
115 |
+
"model.layers.18.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
|
116 |
+
"model.layers.18.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
|
117 |
+
"model.layers.18.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
|
118 |
+
"model.layers.19.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
119 |
+
"model.layers.19.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
|
120 |
+
"model.layers.19.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
|
121 |
+
"model.layers.19.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
|
122 |
+
"model.layers.19.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
123 |
+
"model.layers.19.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
|
124 |
+
"model.layers.19.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
|
125 |
+
"model.layers.19.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
|
126 |
+
"model.layers.19.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
|
127 |
+
"model.layers.19.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
|
128 |
+
"model.layers.2.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
129 |
+
"model.layers.2.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
|
130 |
+
"model.layers.2.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
|
131 |
+
"model.layers.2.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
|
132 |
+
"model.layers.2.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
133 |
+
"model.layers.2.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
|
134 |
+
"model.layers.2.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
|
135 |
+
"model.layers.2.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
|
136 |
+
"model.layers.2.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
|
137 |
+
"model.layers.2.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
|
138 |
+
"model.layers.20.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
139 |
+
"model.layers.20.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
|
140 |
+
"model.layers.20.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
|
141 |
+
"model.layers.20.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
|
142 |
+
"model.layers.20.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
143 |
+
"model.layers.20.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
|
144 |
+
"model.layers.20.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
|
145 |
+
"model.layers.20.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
|
146 |
+
"model.layers.20.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
|
147 |
+
"model.layers.20.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
|
148 |
+
"model.layers.21.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
149 |
+
"model.layers.21.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
|
150 |
+
"model.layers.21.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
|
151 |
+
"model.layers.21.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
|
152 |
+
"model.layers.21.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
153 |
+
"model.layers.21.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
|
154 |
+
"model.layers.21.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
|
155 |
+
"model.layers.21.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
|
156 |
+
"model.layers.21.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
|
157 |
+
"model.layers.21.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
|
158 |
+
"model.layers.22.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
159 |
+
"model.layers.22.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
|
160 |
+
"model.layers.22.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
|
161 |
+
"model.layers.22.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
|
162 |
+
"model.layers.22.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
|
163 |
+
"model.layers.22.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
|
164 |
+
"model.layers.22.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
|
165 |
+
"model.layers.22.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
|
166 |
+
"model.layers.22.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
|
167 |
+
"model.layers.22.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
|
168 |
+
"model.layers.23.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
169 |
+
"model.layers.23.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
|
170 |
+
"model.layers.23.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
|
171 |
+
"model.layers.23.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
|
172 |
+
"model.layers.23.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
173 |
+
"model.layers.23.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
|
174 |
+
"model.layers.23.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
|
175 |
+
"model.layers.23.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
|
176 |
+
"model.layers.23.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
|
177 |
+
"model.layers.23.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
|
178 |
+
"model.layers.24.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
179 |
+
"model.layers.24.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
|
180 |
+
"model.layers.24.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
|
181 |
+
"model.layers.24.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
|
182 |
+
"model.layers.24.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
183 |
+
"model.layers.24.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
|
184 |
+
"model.layers.24.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
|
185 |
+
"model.layers.24.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
|
186 |
+
"model.layers.24.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
|
187 |
+
"model.layers.24.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
|
188 |
+
"model.layers.25.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
189 |
+
"model.layers.25.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
|
190 |
+
"model.layers.25.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
|
191 |
+
"model.layers.25.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
|
192 |
+
"model.layers.25.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
193 |
+
"model.layers.25.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
|
194 |
+
"model.layers.25.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
|
195 |
+
"model.layers.25.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
|
196 |
+
"model.layers.25.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
|
197 |
+
"model.layers.25.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
|
198 |
+
"model.layers.26.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
199 |
+
"model.layers.26.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
|
200 |
+
"model.layers.26.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
|
201 |
+
"model.layers.26.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
|
202 |
+
"model.layers.26.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
203 |
+
"model.layers.26.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
|
204 |
+
"model.layers.26.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
|
205 |
+
"model.layers.26.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
|
206 |
+
"model.layers.26.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
|
207 |
+
"model.layers.26.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
|
208 |
+
"model.layers.27.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
209 |
+
"model.layers.27.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
|
210 |
+
"model.layers.27.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
|
211 |
+
"model.layers.27.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
|
212 |
+
"model.layers.27.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
213 |
+
"model.layers.27.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
|
214 |
+
"model.layers.27.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
|
215 |
+
"model.layers.27.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
|
216 |
+
"model.layers.27.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
|
217 |
+
"model.layers.27.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
|
218 |
+
"model.layers.28.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
219 |
+
"model.layers.28.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
|
220 |
+
"model.layers.28.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
|
221 |
+
"model.layers.28.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
|
222 |
+
"model.layers.28.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
223 |
+
"model.layers.28.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
|
224 |
+
"model.layers.28.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
|
225 |
+
"model.layers.28.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
|
226 |
+
"model.layers.28.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
|
227 |
+
"model.layers.28.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
|
228 |
+
"model.layers.29.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
229 |
+
"model.layers.29.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
|
230 |
+
"model.layers.29.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
|
231 |
+
"model.layers.29.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
|
232 |
+
"model.layers.29.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
|
233 |
+
"model.layers.29.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
|
234 |
+
"model.layers.29.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
|
235 |
+
"model.layers.29.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
|
236 |
+
"model.layers.29.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
|
237 |
+
"model.layers.29.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
|
238 |
+
"model.layers.3.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
239 |
+
"model.layers.3.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
|
240 |
+
"model.layers.3.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
|
241 |
+
"model.layers.3.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
|
242 |
+
"model.layers.3.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
243 |
+
"model.layers.3.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
|
244 |
+
"model.layers.3.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
|
245 |
+
"model.layers.3.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
|
246 |
+
"model.layers.3.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
|
247 |
+
"model.layers.3.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
|
248 |
+
"model.layers.30.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
249 |
+
"model.layers.30.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
|
250 |
+
"model.layers.30.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
|
251 |
+
"model.layers.30.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
|
252 |
+
"model.layers.30.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
253 |
+
"model.layers.30.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
|
254 |
+
"model.layers.30.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
|
255 |
+
"model.layers.30.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
|
256 |
+
"model.layers.30.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
|
257 |
+
"model.layers.30.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
|
258 |
+
"model.layers.31.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
259 |
+
"model.layers.31.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
|
260 |
+
"model.layers.31.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
|
261 |
+
"model.layers.31.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
|
262 |
+
"model.layers.31.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
263 |
+
"model.layers.31.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
|
264 |
+
"model.layers.31.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
|
265 |
+
"model.layers.31.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
|
266 |
+
"model.layers.31.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
|
267 |
+
"model.layers.31.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
|
268 |
+
"model.layers.32.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
269 |
+
"model.layers.32.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
|
270 |
+
"model.layers.32.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
|
271 |
+
"model.layers.32.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
|
272 |
+
"model.layers.32.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
273 |
+
"model.layers.32.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
|
274 |
+
"model.layers.32.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
|
275 |
+
"model.layers.32.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
|
276 |
+
"model.layers.32.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
|
277 |
+
"model.layers.32.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
|
278 |
+
"model.layers.33.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
279 |
+
"model.layers.33.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
|
280 |
+
"model.layers.33.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
|
281 |
+
"model.layers.33.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
|
282 |
+
"model.layers.33.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
283 |
+
"model.layers.33.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
|
284 |
+
"model.layers.33.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
|
285 |
+
"model.layers.33.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
|
286 |
+
"model.layers.33.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
|
287 |
+
"model.layers.33.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
|
288 |
+
"model.layers.34.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
289 |
+
"model.layers.34.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
|
290 |
+
"model.layers.34.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
|
291 |
+
"model.layers.34.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
|
292 |
+
"model.layers.34.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
293 |
+
"model.layers.34.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
|
294 |
+
"model.layers.34.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
|
295 |
+
"model.layers.34.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
|
296 |
+
"model.layers.34.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
|
297 |
+
"model.layers.34.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
|
298 |
+
"model.layers.35.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
299 |
+
"model.layers.35.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
|
300 |
+
"model.layers.35.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
|
301 |
+
"model.layers.35.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
|
302 |
+
"model.layers.35.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
303 |
+
"model.layers.35.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
|
304 |
+
"model.layers.35.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
|
305 |
+
"model.layers.35.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
|
306 |
+
"model.layers.35.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
|
307 |
+
"model.layers.35.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
|
308 |
+
"model.layers.36.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
309 |
+
"model.layers.36.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
|
310 |
+
"model.layers.36.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
|
311 |
+
"model.layers.36.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
|
312 |
+
"model.layers.36.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
313 |
+
"model.layers.36.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
|
314 |
+
"model.layers.36.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
|
315 |
+
"model.layers.36.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
|
316 |
+
"model.layers.36.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
|
317 |
+
"model.layers.36.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
|
318 |
+
"model.layers.37.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
319 |
+
"model.layers.37.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
|
320 |
+
"model.layers.37.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
|
321 |
+
"model.layers.37.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
|
322 |
+
"model.layers.37.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
|
323 |
+
"model.layers.37.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
|
324 |
+
"model.layers.37.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
|
325 |
+
"model.layers.37.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
|
326 |
+
"model.layers.37.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
|
327 |
+
"model.layers.37.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
|
328 |
+
"model.layers.38.input_layernorm.weight": "pytorch_model-00006-of-00006.bin",
|
329 |
+
"model.layers.38.mlp.down_proj.weight": "pytorch_model-00006-of-00006.bin",
|
330 |
+
"model.layers.38.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
|
331 |
+
"model.layers.38.mlp.up_proj.weight": "pytorch_model-00006-of-00006.bin",
|
332 |
+
"model.layers.38.post_attention_layernorm.weight": "pytorch_model-00006-of-00006.bin",
|
333 |
+
"model.layers.38.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
|
334 |
+
"model.layers.38.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
|
335 |
+
"model.layers.38.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
|
336 |
+
"model.layers.38.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
|
337 |
+
"model.layers.38.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
|
338 |
+
"model.layers.39.input_layernorm.weight": "pytorch_model-00006-of-00006.bin",
|
339 |
+
"model.layers.39.mlp.down_proj.weight": "pytorch_model-00006-of-00006.bin",
|
340 |
+
"model.layers.39.mlp.gate_proj.weight": "pytorch_model-00006-of-00006.bin",
|
341 |
+
"model.layers.39.mlp.up_proj.weight": "pytorch_model-00006-of-00006.bin",
|
342 |
+
"model.layers.39.post_attention_layernorm.weight": "pytorch_model-00006-of-00006.bin",
|
343 |
+
"model.layers.39.self_attn.k_proj.weight": "pytorch_model-00006-of-00006.bin",
|
344 |
+
"model.layers.39.self_attn.o_proj.weight": "pytorch_model-00006-of-00006.bin",
|
345 |
+
"model.layers.39.self_attn.q_proj.weight": "pytorch_model-00006-of-00006.bin",
|
346 |
+
"model.layers.39.self_attn.rotary_emb.inv_freq": "pytorch_model-00006-of-00006.bin",
|
347 |
+
"model.layers.39.self_attn.v_proj.weight": "pytorch_model-00006-of-00006.bin",
|
348 |
+
"model.layers.4.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
349 |
+
"model.layers.4.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
|
350 |
+
"model.layers.4.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
|
351 |
+
"model.layers.4.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
|
352 |
+
"model.layers.4.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
353 |
+
"model.layers.4.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
|
354 |
+
"model.layers.4.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
|
355 |
+
"model.layers.4.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
|
356 |
+
"model.layers.4.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
|
357 |
+
"model.layers.4.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
|
358 |
+
"model.layers.5.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
359 |
+
"model.layers.5.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
|
360 |
+
"model.layers.5.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
|
361 |
+
"model.layers.5.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
|
362 |
+
"model.layers.5.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
363 |
+
"model.layers.5.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
|
364 |
+
"model.layers.5.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
|
365 |
+
"model.layers.5.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
|
366 |
+
"model.layers.5.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
|
367 |
+
"model.layers.5.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
|
368 |
+
"model.layers.6.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
369 |
+
"model.layers.6.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
|
370 |
+
"model.layers.6.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
|
371 |
+
"model.layers.6.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
|
372 |
+
"model.layers.6.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
|
373 |
+
"model.layers.6.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
|
374 |
+
"model.layers.6.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
|
375 |
+
"model.layers.6.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
|
376 |
+
"model.layers.6.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
|
377 |
+
"model.layers.6.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
|
378 |
+
"model.layers.7.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
379 |
+
"model.layers.7.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
|
380 |
+
"model.layers.7.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
|
381 |
+
"model.layers.7.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
|
382 |
+
"model.layers.7.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
383 |
+
"model.layers.7.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
|
384 |
+
"model.layers.7.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
|
385 |
+
"model.layers.7.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
|
386 |
+
"model.layers.7.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
|
387 |
+
"model.layers.7.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
|
388 |
+
"model.layers.8.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
389 |
+
"model.layers.8.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
|
390 |
+
"model.layers.8.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
|
391 |
+
"model.layers.8.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
|
392 |
+
"model.layers.8.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
393 |
+
"model.layers.8.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
|
394 |
+
"model.layers.8.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
|
395 |
+
"model.layers.8.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
|
396 |
+
"model.layers.8.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
|
397 |
+
"model.layers.8.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
|
398 |
+
"model.layers.9.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
399 |
+
"model.layers.9.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
|
400 |
+
"model.layers.9.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
|
401 |
+
"model.layers.9.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
|
402 |
+
"model.layers.9.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
|
403 |
+
"model.layers.9.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
|
404 |
+
"model.layers.9.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
|
405 |
+
"model.layers.9.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
|
406 |
+
"model.layers.9.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
|
407 |
+
"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
|
408 |
+
"model.norm.weight": "pytorch_model-00006-of-00006.bin"
|
409 |
+
}
|
410 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": true,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": true,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "<unk>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": true,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
tokenizer_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"bos_token": {
|
5 |
+
"__type": "AddedToken",
|
6 |
+
"content": "<s>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": true,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false
|
11 |
+
},
|
12 |
+
"clean_up_tokenization_spaces": false,
|
13 |
+
"eos_token": {
|
14 |
+
"__type": "AddedToken",
|
15 |
+
"content": "</s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": true,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false
|
20 |
+
},
|
21 |
+
"model_max_length": 4096,
|
22 |
+
"pad_token": null,
|
23 |
+
"padding_side": "right",
|
24 |
+
"sp_model_kwargs": {},
|
25 |
+
"tokenizer_class": "LlamaTokenizer",
|
26 |
+
"unk_token": {
|
27 |
+
"__type": "AddedToken",
|
28 |
+
"content": "<unk>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": true,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false
|
33 |
+
}
|
34 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,817 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"global_step": 132,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.01,
|
12 |
+
"learning_rate": 3.3333333333333333e-06,
|
13 |
+
"loss": 0.1628,
|
14 |
+
"step": 1
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.02,
|
18 |
+
"learning_rate": 6.666666666666667e-06,
|
19 |
+
"loss": 0.2466,
|
20 |
+
"step": 2
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.02,
|
24 |
+
"learning_rate": 1e-05,
|
25 |
+
"loss": 0.1574,
|
26 |
+
"step": 3
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.03,
|
30 |
+
"learning_rate": 1.3333333333333333e-05,
|
31 |
+
"loss": 0.2579,
|
32 |
+
"step": 4
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.04,
|
36 |
+
"learning_rate": 1.6666666666666667e-05,
|
37 |
+
"loss": 0.1541,
|
38 |
+
"step": 5
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.05,
|
42 |
+
"learning_rate": 2e-05,
|
43 |
+
"loss": 0.1936,
|
44 |
+
"step": 6
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.05,
|
48 |
+
"learning_rate": 1.9996891820008165e-05,
|
49 |
+
"loss": 0.2,
|
50 |
+
"step": 7
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.06,
|
54 |
+
"learning_rate": 1.9987569212189224e-05,
|
55 |
+
"loss": 0.1831,
|
56 |
+
"step": 8
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.07,
|
60 |
+
"learning_rate": 1.9972037971811802e-05,
|
61 |
+
"loss": 0.2248,
|
62 |
+
"step": 9
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.08,
|
66 |
+
"learning_rate": 1.9950307753654016e-05,
|
67 |
+
"loss": 0.1665,
|
68 |
+
"step": 10
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.08,
|
72 |
+
"learning_rate": 1.9922392066001724e-05,
|
73 |
+
"loss": 0.2094,
|
74 |
+
"step": 11
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.09,
|
78 |
+
"learning_rate": 1.9888308262251286e-05,
|
79 |
+
"loss": 0.2001,
|
80 |
+
"step": 12
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.1,
|
84 |
+
"learning_rate": 1.9848077530122083e-05,
|
85 |
+
"loss": 0.1172,
|
86 |
+
"step": 13
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.11,
|
90 |
+
"learning_rate": 1.9801724878485438e-05,
|
91 |
+
"loss": 0.2056,
|
92 |
+
"step": 14
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.11,
|
96 |
+
"learning_rate": 1.9749279121818235e-05,
|
97 |
+
"loss": 0.2014,
|
98 |
+
"step": 15
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.12,
|
102 |
+
"learning_rate": 1.969077286229078e-05,
|
103 |
+
"loss": 0.1684,
|
104 |
+
"step": 16
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.13,
|
108 |
+
"learning_rate": 1.962624246950012e-05,
|
109 |
+
"loss": 0.1373,
|
110 |
+
"step": 17
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.14,
|
114 |
+
"learning_rate": 1.955572805786141e-05,
|
115 |
+
"loss": 0.1828,
|
116 |
+
"step": 18
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.14,
|
120 |
+
"learning_rate": 1.947927346167132e-05,
|
121 |
+
"loss": 0.2026,
|
122 |
+
"step": 19
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.15,
|
126 |
+
"learning_rate": 1.9396926207859085e-05,
|
127 |
+
"loss": 0.2229,
|
128 |
+
"step": 20
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.16,
|
132 |
+
"learning_rate": 1.9308737486442045e-05,
|
133 |
+
"loss": 0.223,
|
134 |
+
"step": 21
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.17,
|
138 |
+
"learning_rate": 1.921476211870408e-05,
|
139 |
+
"loss": 0.1184,
|
140 |
+
"step": 22
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.17,
|
144 |
+
"learning_rate": 1.9115058523116734e-05,
|
145 |
+
"loss": 0.1451,
|
146 |
+
"step": 23
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.18,
|
150 |
+
"learning_rate": 1.900968867902419e-05,
|
151 |
+
"loss": 0.1882,
|
152 |
+
"step": 24
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.19,
|
156 |
+
"learning_rate": 1.8898718088114688e-05,
|
157 |
+
"loss": 0.1531,
|
158 |
+
"step": 25
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.2,
|
162 |
+
"learning_rate": 1.8782215733702286e-05,
|
163 |
+
"loss": 0.1562,
|
164 |
+
"step": 26
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.2,
|
168 |
+
"learning_rate": 1.866025403784439e-05,
|
169 |
+
"loss": 0.1659,
|
170 |
+
"step": 27
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.21,
|
174 |
+
"learning_rate": 1.8532908816321557e-05,
|
175 |
+
"loss": 0.1937,
|
176 |
+
"step": 28
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.22,
|
180 |
+
"learning_rate": 1.8400259231507716e-05,
|
181 |
+
"loss": 0.1737,
|
182 |
+
"step": 29
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.23,
|
186 |
+
"learning_rate": 1.826238774315995e-05,
|
187 |
+
"loss": 0.1417,
|
188 |
+
"step": 30
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.23,
|
192 |
+
"learning_rate": 1.811938005715857e-05,
|
193 |
+
"loss": 0.1761,
|
194 |
+
"step": 31
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.24,
|
198 |
+
"learning_rate": 1.7971325072229227e-05,
|
199 |
+
"loss": 0.13,
|
200 |
+
"step": 32
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.25,
|
204 |
+
"learning_rate": 1.78183148246803e-05,
|
205 |
+
"loss": 0.1835,
|
206 |
+
"step": 33
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.26,
|
210 |
+
"learning_rate": 1.766044443118978e-05,
|
211 |
+
"loss": 0.1799,
|
212 |
+
"step": 34
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.27,
|
216 |
+
"learning_rate": 1.7497812029677344e-05,
|
217 |
+
"loss": 0.1744,
|
218 |
+
"step": 35
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.27,
|
222 |
+
"learning_rate": 1.7330518718298263e-05,
|
223 |
+
"loss": 0.1656,
|
224 |
+
"step": 36
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.28,
|
228 |
+
"learning_rate": 1.7158668492597186e-05,
|
229 |
+
"loss": 0.1198,
|
230 |
+
"step": 37
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.29,
|
234 |
+
"learning_rate": 1.698236818086073e-05,
|
235 |
+
"loss": 0.218,
|
236 |
+
"step": 38
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.3,
|
240 |
+
"learning_rate": 1.6801727377709195e-05,
|
241 |
+
"loss": 0.1288,
|
242 |
+
"step": 39
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.3,
|
246 |
+
"learning_rate": 1.6616858375968596e-05,
|
247 |
+
"loss": 0.183,
|
248 |
+
"step": 40
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.31,
|
252 |
+
"learning_rate": 1.6427876096865394e-05,
|
253 |
+
"loss": 0.1998,
|
254 |
+
"step": 41
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.32,
|
258 |
+
"learning_rate": 1.6234898018587336e-05,
|
259 |
+
"loss": 0.2144,
|
260 |
+
"step": 42
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.33,
|
264 |
+
"learning_rate": 1.6038044103254775e-05,
|
265 |
+
"loss": 0.2268,
|
266 |
+
"step": 43
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.33,
|
270 |
+
"learning_rate": 1.5837436722347902e-05,
|
271 |
+
"loss": 0.1978,
|
272 |
+
"step": 44
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.34,
|
276 |
+
"learning_rate": 1.563320058063622e-05,
|
277 |
+
"loss": 0.2205,
|
278 |
+
"step": 45
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.35,
|
282 |
+
"learning_rate": 1.5425462638657597e-05,
|
283 |
+
"loss": 0.1178,
|
284 |
+
"step": 46
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.36,
|
288 |
+
"learning_rate": 1.5214352033794981e-05,
|
289 |
+
"loss": 0.1766,
|
290 |
+
"step": 47
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.36,
|
294 |
+
"learning_rate": 1.5000000000000002e-05,
|
295 |
+
"loss": 0.1925,
|
296 |
+
"step": 48
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.37,
|
300 |
+
"learning_rate": 1.4782539786213184e-05,
|
301 |
+
"loss": 0.1857,
|
302 |
+
"step": 49
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.38,
|
306 |
+
"learning_rate": 1.4562106573531632e-05,
|
307 |
+
"loss": 0.1898,
|
308 |
+
"step": 50
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.39,
|
312 |
+
"learning_rate": 1.4338837391175582e-05,
|
313 |
+
"loss": 0.2147,
|
314 |
+
"step": 51
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.39,
|
318 |
+
"learning_rate": 1.4112871031306118e-05,
|
319 |
+
"loss": 0.0981,
|
320 |
+
"step": 52
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.4,
|
324 |
+
"learning_rate": 1.3884347962746949e-05,
|
325 |
+
"loss": 0.12,
|
326 |
+
"step": 53
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.41,
|
330 |
+
"learning_rate": 1.3653410243663953e-05,
|
331 |
+
"loss": 0.1628,
|
332 |
+
"step": 54
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.42,
|
336 |
+
"learning_rate": 1.342020143325669e-05,
|
337 |
+
"loss": 0.1212,
|
338 |
+
"step": 55
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.42,
|
342 |
+
"learning_rate": 1.3184866502516846e-05,
|
343 |
+
"loss": 0.1532,
|
344 |
+
"step": 56
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.43,
|
348 |
+
"learning_rate": 1.2947551744109044e-05,
|
349 |
+
"loss": 0.2227,
|
350 |
+
"step": 57
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 0.44,
|
354 |
+
"learning_rate": 1.2708404681430054e-05,
|
355 |
+
"loss": 0.1514,
|
356 |
+
"step": 58
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 0.45,
|
360 |
+
"learning_rate": 1.2467573976902936e-05,
|
361 |
+
"loss": 0.1682,
|
362 |
+
"step": 59
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.45,
|
366 |
+
"learning_rate": 1.2225209339563144e-05,
|
367 |
+
"loss": 0.1198,
|
368 |
+
"step": 60
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.46,
|
372 |
+
"learning_rate": 1.1981461431993978e-05,
|
373 |
+
"loss": 0.1467,
|
374 |
+
"step": 61
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.47,
|
378 |
+
"learning_rate": 1.1736481776669307e-05,
|
379 |
+
"loss": 0.1495,
|
380 |
+
"step": 62
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.48,
|
384 |
+
"learning_rate": 1.1490422661761744e-05,
|
385 |
+
"loss": 0.184,
|
386 |
+
"step": 63
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 0.48,
|
390 |
+
"learning_rate": 1.1243437046474854e-05,
|
391 |
+
"loss": 0.1868,
|
392 |
+
"step": 64
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 0.49,
|
396 |
+
"learning_rate": 1.0995678465958168e-05,
|
397 |
+
"loss": 0.1448,
|
398 |
+
"step": 65
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.5,
|
402 |
+
"learning_rate": 1.0747300935864245e-05,
|
403 |
+
"loss": 0.1522,
|
404 |
+
"step": 66
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 0.51,
|
408 |
+
"learning_rate": 1.0498458856606972e-05,
|
409 |
+
"loss": 0.1626,
|
410 |
+
"step": 67
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.52,
|
414 |
+
"learning_rate": 1.0249306917380731e-05,
|
415 |
+
"loss": 0.1445,
|
416 |
+
"step": 68
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.52,
|
420 |
+
"learning_rate": 1e-05,
|
421 |
+
"loss": 0.1869,
|
422 |
+
"step": 69
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.53,
|
426 |
+
"learning_rate": 9.750693082619274e-06,
|
427 |
+
"loss": 0.1127,
|
428 |
+
"step": 70
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 0.54,
|
432 |
+
"learning_rate": 9.501541143393028e-06,
|
433 |
+
"loss": 0.1223,
|
434 |
+
"step": 71
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.55,
|
438 |
+
"learning_rate": 9.252699064135759e-06,
|
439 |
+
"loss": 0.13,
|
440 |
+
"step": 72
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 0.55,
|
444 |
+
"learning_rate": 9.004321534041836e-06,
|
445 |
+
"loss": 0.147,
|
446 |
+
"step": 73
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 0.56,
|
450 |
+
"learning_rate": 8.756562953525151e-06,
|
451 |
+
"loss": 0.2119,
|
452 |
+
"step": 74
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.57,
|
456 |
+
"learning_rate": 8.509577338238255e-06,
|
457 |
+
"loss": 0.1632,
|
458 |
+
"step": 75
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.58,
|
462 |
+
"learning_rate": 8.263518223330698e-06,
|
463 |
+
"loss": 0.1092,
|
464 |
+
"step": 76
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.58,
|
468 |
+
"learning_rate": 8.018538568006027e-06,
|
469 |
+
"loss": 0.1726,
|
470 |
+
"step": 77
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 0.59,
|
474 |
+
"learning_rate": 7.774790660436857e-06,
|
475 |
+
"loss": 0.2059,
|
476 |
+
"step": 78
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 0.6,
|
480 |
+
"learning_rate": 7.532426023097063e-06,
|
481 |
+
"loss": 0.1428,
|
482 |
+
"step": 79
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 0.61,
|
486 |
+
"learning_rate": 7.291595318569951e-06,
|
487 |
+
"loss": 0.2208,
|
488 |
+
"step": 80
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 0.61,
|
492 |
+
"learning_rate": 7.052448255890958e-06,
|
493 |
+
"loss": 0.1072,
|
494 |
+
"step": 81
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.62,
|
498 |
+
"learning_rate": 6.815133497483157e-06,
|
499 |
+
"loss": 0.1428,
|
500 |
+
"step": 82
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.63,
|
504 |
+
"learning_rate": 6.579798566743314e-06,
|
505 |
+
"loss": 0.1458,
|
506 |
+
"step": 83
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.64,
|
510 |
+
"learning_rate": 6.34658975633605e-06,
|
511 |
+
"loss": 0.1575,
|
512 |
+
"step": 84
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 0.64,
|
516 |
+
"learning_rate": 6.115652037253054e-06,
|
517 |
+
"loss": 0.1377,
|
518 |
+
"step": 85
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 0.65,
|
522 |
+
"learning_rate": 5.887128968693887e-06,
|
523 |
+
"loss": 0.1238,
|
524 |
+
"step": 86
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 0.66,
|
528 |
+
"learning_rate": 5.66116260882442e-06,
|
529 |
+
"loss": 0.189,
|
530 |
+
"step": 87
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 0.67,
|
534 |
+
"learning_rate": 5.43789342646837e-06,
|
535 |
+
"loss": 0.1362,
|
536 |
+
"step": 88
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 0.67,
|
540 |
+
"learning_rate": 5.217460213786822e-06,
|
541 |
+
"loss": 0.1111,
|
542 |
+
"step": 89
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.68,
|
546 |
+
"learning_rate": 5.000000000000003e-06,
|
547 |
+
"loss": 0.1703,
|
548 |
+
"step": 90
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.69,
|
552 |
+
"learning_rate": 4.78564796620502e-06,
|
553 |
+
"loss": 0.2067,
|
554 |
+
"step": 91
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 0.7,
|
558 |
+
"learning_rate": 4.5745373613424075e-06,
|
559 |
+
"loss": 0.1176,
|
560 |
+
"step": 92
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 0.7,
|
564 |
+
"learning_rate": 4.3667994193637794e-06,
|
565 |
+
"loss": 0.0989,
|
566 |
+
"step": 93
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 0.71,
|
570 |
+
"learning_rate": 4.162563277652104e-06,
|
571 |
+
"loss": 0.1806,
|
572 |
+
"step": 94
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 0.72,
|
576 |
+
"learning_rate": 3.961955896745224e-06,
|
577 |
+
"loss": 0.1268,
|
578 |
+
"step": 95
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.73,
|
582 |
+
"learning_rate": 3.7651019814126656e-06,
|
583 |
+
"loss": 0.0781,
|
584 |
+
"step": 96
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.73,
|
588 |
+
"learning_rate": 3.5721239031346067e-06,
|
589 |
+
"loss": 0.0953,
|
590 |
+
"step": 97
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.74,
|
594 |
+
"learning_rate": 3.3831416240314085e-06,
|
595 |
+
"loss": 0.1347,
|
596 |
+
"step": 98
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 0.75,
|
600 |
+
"learning_rate": 3.1982726222908046e-06,
|
601 |
+
"loss": 0.0712,
|
602 |
+
"step": 99
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 0.76,
|
606 |
+
"learning_rate": 3.017631819139273e-06,
|
607 |
+
"loss": 0.1236,
|
608 |
+
"step": 100
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 0.77,
|
612 |
+
"learning_rate": 2.8413315074028157e-06,
|
613 |
+
"loss": 0.1177,
|
614 |
+
"step": 101
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 0.77,
|
618 |
+
"learning_rate": 2.669481281701739e-06,
|
619 |
+
"loss": 0.1223,
|
620 |
+
"step": 102
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 0.78,
|
624 |
+
"learning_rate": 2.502187970322657e-06,
|
625 |
+
"loss": 0.1171,
|
626 |
+
"step": 103
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.79,
|
630 |
+
"learning_rate": 2.339555568810221e-06,
|
631 |
+
"loss": 0.1337,
|
632 |
+
"step": 104
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.8,
|
636 |
+
"learning_rate": 2.1816851753197023e-06,
|
637 |
+
"loss": 0.1113,
|
638 |
+
"step": 105
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 0.8,
|
642 |
+
"learning_rate": 2.0286749277707783e-06,
|
643 |
+
"loss": 0.111,
|
644 |
+
"step": 106
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 0.81,
|
648 |
+
"learning_rate": 1.880619942841435e-06,
|
649 |
+
"loss": 0.1522,
|
650 |
+
"step": 107
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 0.82,
|
654 |
+
"learning_rate": 1.7376122568400533e-06,
|
655 |
+
"loss": 0.1428,
|
656 |
+
"step": 108
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 0.83,
|
660 |
+
"learning_rate": 1.599740768492286e-06,
|
661 |
+
"loss": 0.1221,
|
662 |
+
"step": 109
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 0.83,
|
666 |
+
"learning_rate": 1.467091183678444e-06,
|
667 |
+
"loss": 0.1171,
|
668 |
+
"step": 110
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.84,
|
672 |
+
"learning_rate": 1.339745962155613e-06,
|
673 |
+
"loss": 0.1237,
|
674 |
+
"step": 111
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.85,
|
678 |
+
"learning_rate": 1.2177842662977136e-06,
|
679 |
+
"loss": 0.1008,
|
680 |
+
"step": 112
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 0.86,
|
684 |
+
"learning_rate": 1.1012819118853147e-06,
|
685 |
+
"loss": 0.1522,
|
686 |
+
"step": 113
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 0.86,
|
690 |
+
"learning_rate": 9.903113209758098e-07,
|
691 |
+
"loss": 0.0842,
|
692 |
+
"step": 114
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 0.87,
|
696 |
+
"learning_rate": 8.849414768832687e-07,
|
697 |
+
"loss": 0.1417,
|
698 |
+
"step": 115
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 0.88,
|
702 |
+
"learning_rate": 7.852378812959227e-07,
|
703 |
+
"loss": 0.1132,
|
704 |
+
"step": 116
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 0.89,
|
708 |
+
"learning_rate": 6.912625135579587e-07,
|
709 |
+
"loss": 0.1316,
|
710 |
+
"step": 117
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 0.89,
|
714 |
+
"learning_rate": 6.030737921409169e-07,
|
715 |
+
"loss": 0.1119,
|
716 |
+
"step": 118
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.9,
|
720 |
+
"learning_rate": 5.207265383286831e-07,
|
721 |
+
"loss": 0.114,
|
722 |
+
"step": 119
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 0.91,
|
726 |
+
"learning_rate": 4.4427194213859216e-07,
|
727 |
+
"loss": 0.1215,
|
728 |
+
"step": 120
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 0.92,
|
732 |
+
"learning_rate": 3.7375753049987974e-07,
|
733 |
+
"loss": 0.1544,
|
734 |
+
"step": 121
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 0.92,
|
738 |
+
"learning_rate": 3.0922713770922155e-07,
|
739 |
+
"loss": 0.1228,
|
740 |
+
"step": 122
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 0.93,
|
744 |
+
"learning_rate": 2.507208781817638e-07,
|
745 |
+
"loss": 0.1326,
|
746 |
+
"step": 123
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 0.94,
|
750 |
+
"learning_rate": 1.9827512151456175e-07,
|
751 |
+
"loss": 0.0861,
|
752 |
+
"step": 124
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 0.95,
|
756 |
+
"learning_rate": 1.519224698779198e-07,
|
757 |
+
"loss": 0.1173,
|
758 |
+
"step": 125
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.95,
|
762 |
+
"learning_rate": 1.1169173774871478e-07,
|
763 |
+
"loss": 0.1554,
|
764 |
+
"step": 126
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 0.96,
|
768 |
+
"learning_rate": 7.760793399827937e-08,
|
769 |
+
"loss": 0.2177,
|
770 |
+
"step": 127
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 0.97,
|
774 |
+
"learning_rate": 4.9692246345985905e-08,
|
775 |
+
"loss": 0.1132,
|
776 |
+
"step": 128
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 0.98,
|
780 |
+
"learning_rate": 2.796202818819871e-08,
|
781 |
+
"loss": 0.1256,
|
782 |
+
"step": 129
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 0.98,
|
786 |
+
"learning_rate": 1.2430787810776556e-08,
|
787 |
+
"loss": 0.1504,
|
788 |
+
"step": 130
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 0.99,
|
792 |
+
"learning_rate": 3.1081799918375454e-09,
|
793 |
+
"loss": 0.1139,
|
794 |
+
"step": 131
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 1.0,
|
798 |
+
"learning_rate": 0.0,
|
799 |
+
"loss": 0.1595,
|
800 |
+
"step": 132
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 1.0,
|
804 |
+
"step": 132,
|
805 |
+
"total_flos": 5.0444743239899546e+17,
|
806 |
+
"train_loss": 0.1553735863417387,
|
807 |
+
"train_runtime": 4037.8946,
|
808 |
+
"train_samples_per_second": 3.124,
|
809 |
+
"train_steps_per_second": 0.033
|
810 |
+
}
|
811 |
+
],
|
812 |
+
"max_steps": 132,
|
813 |
+
"num_train_epochs": 1,
|
814 |
+
"total_flos": 5.0444743239899546e+17,
|
815 |
+
"trial_name": null,
|
816 |
+
"trial_params": null
|
817 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b360d54d17b37e6a0fa07b8dbabae6c6ea81daf84741915c8708c2ee4b18f843
|
3 |
+
size 4091
|