End of training
Browse files- README.md +6 -3
- adapter.bem.safetensors +3 -0
- all_results.json +15 -0
- eval_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +883 -0
README.md
CHANGED
@@ -3,6 +3,9 @@ library_name: transformers
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license: cc-by-nc-4.0
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base_model: facebook/mms-1b-all
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tags:
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- generated_from_trainer
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metrics:
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- wer
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@@ -16,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
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# mms-1b-all-bem-genbed-combined-adapter-test
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-
This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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-
- Wer: 0.
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## Model description
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license: cc-by-nc-4.0
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base_model: facebook/mms-1b-all
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tags:
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+
- automatic-speech-recognition
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- genbed
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- mms
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- generated_from_trainer
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metrics:
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- wer
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# mms-1b-all-bem-genbed-combined-adapter-test
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+
This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the GENBED - BEM dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2293
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- Wer: 0.3752
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## Model description
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adapter.bem.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:96eafc43ef00af7d94701f7e9f824e572d894b48630b41fa45a081dd412253a9
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size 8798532
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all_results.json
ADDED
@@ -0,0 +1,15 @@
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{
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"epoch": 7.142857142857143,
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"eval_loss": 0.22929497063159943,
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+
"eval_runtime": 134.2212,
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+
"eval_samples": 1939,
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+
"eval_samples_per_second": 14.446,
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"eval_steps_per_second": 1.81,
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"eval_wer": 0.3751891891891892,
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"total_flos": 2.4864489394936607e+19,
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+
"train_loss": 0.46319753646850587,
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+
"train_runtime": 13134.8195,
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"train_samples": 5817,
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"train_samples_per_second": 13.286,
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"train_steps_per_second": 1.663
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}
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eval_results.json
ADDED
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{
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"epoch": 7.142857142857143,
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"eval_loss": 0.22929497063159943,
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+
"eval_runtime": 134.2212,
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"eval_samples": 1939,
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"eval_samples_per_second": 14.446,
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"eval_steps_per_second": 1.81,
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"eval_wer": 0.3751891891891892
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}
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train_results.json
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@@ -0,0 +1,9 @@
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{
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"epoch": 7.142857142857143,
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"total_flos": 2.4864489394936607e+19,
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+
"train_loss": 0.46319753646850587,
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"train_runtime": 13134.8195,
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+
"train_samples": 5817,
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"train_samples_per_second": 13.286,
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"train_steps_per_second": 1.663
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}
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trainer_state.json
ADDED
@@ -0,0 +1,883 @@
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|
1 |
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{
|
2 |
+
"best_metric": 0.22929497063159943,
|
3 |
+
"best_model_checkpoint": "/scratch/skscla001/results/mms-1b-all-bem-genbed-combined-adapter-test/checkpoint-4800",
|
4 |
+
"epoch": 7.142857142857143,
|
5 |
+
"eval_steps": 100,
|
6 |
+
"global_step": 5200,
|
7 |
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"is_hyper_param_search": false,
|
8 |
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"is_local_process_zero": true,
|
9 |
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"is_world_process_zero": true,
|
10 |
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"log_history": [
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11 |
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{
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12 |
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"epoch": 0.13736263736263737,
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13 |
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"grad_norm": 3.0789577960968018,
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14 |
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"learning_rate": 0.00028799999999999995,
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15 |
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"loss": 6.4783,
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16 |
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"step": 100
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17 |
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},
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18 |
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{
|
19 |
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"epoch": 0.13736263736263737,
|
20 |
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"eval_loss": 0.6402517557144165,
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"eval_runtime": 132.5796,
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22 |
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"eval_samples_per_second": 14.625,
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23 |
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"eval_steps_per_second": 1.833,
|
24 |
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"eval_wer": 0.69,
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25 |
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"step": 100
|
26 |
+
},
|
27 |
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{
|
28 |
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"epoch": 0.27472527472527475,
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29 |
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"grad_norm": 1.5154528617858887,
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30 |
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"learning_rate": 0.0002986752529898804,
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31 |
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"loss": 0.5413,
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32 |
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"step": 200
|
33 |
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},
|
34 |
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{
|
35 |
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"epoch": 0.27472527472527475,
|
36 |
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"eval_loss": 0.32597342133522034,
|
37 |
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"eval_runtime": 131.6167,
|
38 |
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"eval_samples_per_second": 14.732,
|
39 |
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"eval_steps_per_second": 1.846,
|
40 |
+
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