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personalizedrefrigerator
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whisper-base-fr

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
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End of training

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  1. README.md +12 -48
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Mar25_00-41-36_ed37a3fddd6b/events.out.tfevents.1742863502.ed37a3fddd6b.440.0 +3 -0
  5. runs/Mar25_03-39-23_ed37a3fddd6b/events.out.tfevents.1742874161.ed37a3fddd6b.45830.0 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -1,11 +1,9 @@
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  ---
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  library_name: transformers
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  license: apache-2.0
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- base_model: openai/whisper-base
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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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  model-index:
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  - name: whisper-base-fr
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  results: []
@@ -16,12 +14,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # whisper-base-fr
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- This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5147
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- - Model Preparation Time: 0.0031
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- - Wer: 0.2427
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- - Cer: 0.1174
 
 
 
 
 
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  ## Model description
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@@ -40,7 +43,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -49,45 +52,6 @@ The following hyperparameters were used during training:
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  - training_steps: 33000
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  - mixed_precision_training: Native AMP
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Wer | Cer |
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- |:-------------:|:------:|:-----:|:---------------:|:----------------------:|:------:|:------:|
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- | 0.7687 | 0.0303 | 1000 | 1.0013 | 0.0031 | 0.4398 | 0.2620 |
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- | 0.7665 | 0.0606 | 2000 | 0.9657 | 0.0031 | 0.4781 | 0.3203 |
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- | 0.6699 | 0.0909 | 3000 | 0.8888 | 0.0031 | 0.4 | 0.2032 |
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- | 0.5928 | 0.1212 | 4000 | 0.8858 | 0.0031 | 0.3782 | 0.1871 |
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- | 0.5833 | 0.1515 | 5000 | 0.8280 | 0.0031 | 0.3514 | 0.1712 |
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- | 0.4953 | 0.1818 | 6000 | 0.8216 | 0.0031 | 0.3743 | 0.1882 |
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- | 0.4421 | 0.2121 | 7000 | 0.7826 | 0.0031 | 0.3759 | 0.2134 |
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- | 0.4458 | 0.2424 | 8000 | 0.7675 | 0.0031 | 0.4075 | 0.2089 |
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- | 0.4296 | 0.2727 | 9000 | 0.7830 | 0.0031 | 0.3578 | 0.1777 |
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- | 0.442 | 0.3030 | 10000 | 0.7743 | 0.0031 | 0.3495 | 0.1757 |
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- | 0.4891 | 0.3333 | 11000 | 0.7550 | 0.0031 | 0.3973 | 0.2480 |
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- | 0.3902 | 0.3636 | 12000 | 0.7427 | 0.0031 | 0.3445 | 0.1702 |
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- | 0.3909 | 0.3939 | 13000 | 0.6894 | 0.0031 | 0.3172 | 0.1538 |
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- | 0.4873 | 0.4242 | 14000 | 0.6316 | 0.0031 | 0.3388 | 0.1775 |
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- | 0.4929 | 0.4545 | 15000 | 0.6557 | 0.0031 | 0.3167 | 0.1454 |
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- | 0.4367 | 0.4848 | 16000 | 0.6071 | 0.0031 | 0.3008 | 0.1597 |
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- | 0.3502 | 0.5152 | 17000 | 0.5911 | 0.0031 | 0.2947 | 0.1371 |
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- | 0.3262 | 0.5455 | 18000 | 0.6142 | 0.0031 | 0.2812 | 0.1365 |
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- | 0.3207 | 0.5758 | 19000 | 0.6054 | 0.0031 | 0.2951 | 0.1493 |
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- | 0.3434 | 0.6061 | 20000 | 0.5799 | 0.0031 | 0.2796 | 0.1332 |
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- | 0.2932 | 0.6364 | 21000 | 0.5784 | 0.0031 | 0.2715 | 0.1282 |
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- | 0.2878 | 0.6667 | 22000 | 0.5742 | 0.0031 | 0.2798 | 0.1319 |
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- | 0.3335 | 0.6970 | 23000 | 0.5727 | 0.0031 | 0.3170 | 0.1504 |
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- | 0.2694 | 0.7273 | 24000 | 0.5526 | 0.0031 | 0.2664 | 0.1286 |
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- | 0.2972 | 0.7576 | 25000 | 0.5259 | 0.0031 | 0.2558 | 0.1181 |
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- | 0.3086 | 0.7879 | 26000 | 0.5110 | 0.0031 | 0.2614 | 0.1237 |
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- | 0.256 | 0.8182 | 27000 | 0.5059 | 0.0031 | 0.2526 | 0.1186 |
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- | 0.2176 | 0.8485 | 28000 | 0.4873 | 0.0031 | 0.2407 | 0.1112 |
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- | 0.2768 | 0.8788 | 29000 | 0.4969 | 0.0031 | 0.2573 | 0.1194 |
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- | 0.2067 | 0.9091 | 30000 | 0.4809 | 0.0031 | 0.2441 | 0.1129 |
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- | 0.2228 | 0.9394 | 31000 | 0.4989 | 0.0031 | 0.2551 | 0.1191 |
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- | 0.2429 | 0.9697 | 32000 | 0.4705 | 0.0031 | 0.2386 | 0.1099 |
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- | 0.2658 | 1.0 | 33000 | 0.4733 | 0.0031 | 0.2423 | 0.1112 |
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-
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-
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  ### Framework versions
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  - Transformers 4.49.0
 
1
  ---
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  library_name: transformers
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  license: apache-2.0
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+ base_model: personalizedrefrigerator/whisper-base-fr
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: whisper-base-fr
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  results: []
 
14
 
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  # whisper-base-fr
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+ This model is a fine-tuned version of [personalizedrefrigerator/whisper-base-fr](https://huggingface.co/personalizedrefrigerator/whisper-base-fr) on the None dataset.
18
  It achieves the following results on the evaluation set:
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+ - eval_loss: 0.5471
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+ - eval_model_preparation_time: 0.0029
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+ - eval_wer: 0.2782
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+ - eval_cer: 0.1415
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+ - eval_runtime: 206.3542
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+ - eval_samples_per_second: 2.481
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+ - eval_steps_per_second: 0.31
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+ - epoch: 0.2844
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+ - step: 9385
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-07
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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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  - training_steps: 33000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.49.0
config.json CHANGED
@@ -1,5 +1,5 @@
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- "_name_or_path": "openai/whisper-base",
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  "activation_dropout": 0.0,
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  "activation_function": "gelu",
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  "apply_spec_augment": false,
 
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  "activation_dropout": 0.0,
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  "activation_function": "gelu",
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  "apply_spec_augment": false,
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