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End of training

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  1. README.md +14 -14
  2. generation_config.json +1 -1
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 56.672545561434454
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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
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.7402
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- - Wer Ortho: 58.1904
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- - Wer: 56.6725
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  ## Model description
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@@ -54,15 +54,15 @@ 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: 1e-05
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- - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
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  - gradient_accumulation_steps: 2
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- - total_train_batch_size: 32
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- - optimizer: Use OptimizerNames.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: constant_with_warmup
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- - lr_scheduler_warmup_steps: 50
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  - training_steps: 450
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  - mixed_precision_training: Native AMP
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@@ -70,12 +70,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
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- | 0.0001 | 32.1481 | 450 | 2.7402 | 58.1904 | 56.6725 |
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  ### Framework versions
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- - Transformers 4.50.0
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- - Pytorch 2.6.0+cu124
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- - Datasets 3.4.1
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- - Tokenizers 0.21.1
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 44.135490394337715
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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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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4342
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+ - Wer Ortho: 46.8432
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+ - Wer: 44.1355
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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-05
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+ - train_batch_size: 32
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  - eval_batch_size: 16
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  - seed: 42
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  - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 64
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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: constant_with_warmup
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+ - lr_scheduler_warmup_steps: 100
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  - training_steps: 450
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  - mixed_precision_training: Native AMP
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  | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
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+ | 0.0039 | 64.2857 | 450 | 1.4342 | 46.8432 | 44.1355 |
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  ### Framework versions
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+ - Transformers 4.47.0
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.3.1
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+ - Tokenizers 0.21.0
generation_config.json CHANGED
@@ -258,5 +258,5 @@
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  "transcribe": 50359,
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  "translate": 50358
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  },
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- "transformers_version": "4.50.0"
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  }
 
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  "transcribe": 50359,
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  "translate": 50358
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  },
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+ "transformers_version": "4.47.0"
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  }