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End of training

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  1. README.md +17 -16
  2. generation_config.json +13 -118
  3. model.safetensors +1 -1
README.md CHANGED
@@ -1,8 +1,9 @@
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  ---
 
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  language:
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  - es
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- license: apache-2.0
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- base_model: openai/whisper-large-v3
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  tags:
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  - hf-asr-leaderboard
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  - generated_from_trainer
@@ -18,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # Whisper Large SEIN - COES SEIN - Version 4
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- This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the SEIN COES dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.7037
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- - Wer: 116.0000
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  ## Model description
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@@ -44,7 +45,7 @@ The following hyperparameters were used during training:
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  - train_batch_size: 16
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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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  - lr_scheduler_warmup_steps: 500
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  - training_steps: 4000
@@ -52,17 +53,17 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 0.0 | 1000.0 | 1000 | 2.4782 | 115.2727 |
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- | 0.0 | 2000.0 | 2000 | 2.6297 | 124.0 |
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- | 0.0 | 3000.0 | 3000 | 2.6806 | 113.8182 |
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- | 0.0 | 4000.0 | 4000 | 2.7037 | 116.0000 |
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  ### Framework versions
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- - Transformers 4.41.0.dev0
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- - Pytorch 2.2.1+cu121
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- - Datasets 2.19.1
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- - Tokenizers 0.19.1
 
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  ---
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+ library_name: transformers
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  language:
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  - es
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+ license: mit
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+ base_model: openai/whisper-large-v3-turbo
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  tags:
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  - hf-asr-leaderboard
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  - generated_from_trainer
 
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  # Whisper Large SEIN - COES SEIN - Version 4
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+ This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the SEIN COES dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6407
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+ - Wer: 45.1515
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  ## Model description
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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  - training_steps: 4000
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|
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+ | 0.0 | 500.0 | 1000 | 1.4820 | 45.7576 |
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+ | 0.0 | 1000.0 | 2000 | 1.5722 | 45.1515 |
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+ | 0.0 | 1500.0 | 3000 | 1.6192 | 45.1515 |
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+ | 0.0 | 2000.0 | 4000 | 1.6407 | 45.1515 |
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  ### Framework versions
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+ - Transformers 4.47.0.dev0
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
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