deniandriancode
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End of training
Browse files- README.md +63 -0
- config.json +64 -0
- generation_config.json +15 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: facebook/blenderbot-400M-distill
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tags:
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- generated_from_trainer
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datasets:
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- daily_dialog
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model-index:
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- name: blenderbot-400M-distill-dialy-dialog
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# blenderbot-400M-distill-dialy-dialog
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This model is a fine-tuned version of [facebook/blenderbot-400M-distill](https://huggingface.co/facebook/blenderbot-400M-distill) on the daily_dialog dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5989
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 10 | 1.0994 |
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| No log | 2.0 | 20 | 0.7949 |
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| No log | 3.0 | 30 | 0.6735 |
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| No log | 4.0 | 40 | 0.6152 |
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| No log | 5.0 | 50 | 0.5989 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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config.json
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{
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"_name_or_path": "facebook/blenderbot-400M-distill",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_bias_logits": false,
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"add_final_layer_norm": true,
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"architectures": [
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"BlenderbotForConditionalGeneration"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"classif_dropout": 0.0,
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"classifier_dropout": 0.0,
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"d_model": 1280,
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"decoder_attention_heads": 32,
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"decoder_ffn_dim": 5120,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 12,
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"decoder_start_token_id": 1,
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"do_blenderbot_90_layernorm": true,
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"dropout": 0.1,
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"encoder_attention_heads": 32,
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"encoder_ffn_dim": 5120,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 2,
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"encoder_no_repeat_ngram_size": 3,
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"eos_token_id": 2,
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"extra_layer_norm": false,
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"extra_pos_embeddings": 0,
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"force_bos_token_to_be_generated": false,
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"forced_eos_token_id": 2,
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"gradient_checkpointing": false,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"layernorm_variant": "prelayernorm",
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"length_penalty": 0.65,
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"max_length": 60,
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"max_position_embeddings": 128,
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"min_length": 20,
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"model_type": "blenderbot",
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"no_repeat_ngram_size": 3,
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"normalize_before": true,
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"normalize_embedding": false,
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"num_beams": 10,
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"num_hidden_layers": 2,
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"pad_token_id": 0,
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"scale_embedding": true,
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"static_position_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.34.0",
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"unk_token_id": 3,
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"use_cache": true,
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"vocab_size": 8008
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"decoder_start_token_id": 1,
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"encoder_no_repeat_ngram_size": 3,
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"length_penalty": 0.65,
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"max_length": 60,
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"min_length": 20,
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"no_repeat_ngram_size": 3,
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"num_beams": 10,
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"pad_token_id": 0,
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"transformers_version": "4.34.0"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:88402407df391d7068048d1a501db3e02f4305a43527ffae8097f1d0b8eb9269
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size 1459362445
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:71306c4b02432434368304ff5cb38b08c51b7b2c46aab84ae4d9d9029c042bd6
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size 4091
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