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Automatic Speech Recognition
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whisper
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  1. README.md +3 -15
  2. model.safetensors +1 -1
  3. runs/Oct07_15-39-49_f7a4dd16b4c3/events.out.tfevents.1728315591.f7a4dd16b4c3.30.0 +3 -0
  4. runs/Oct07_15-47-04_f7a4dd16b4c3/events.out.tfevents.1728316053.f7a4dd16b4c3.132.0 +3 -0
  5. training_args.bin +2 -2
README.md CHANGED
@@ -15,9 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # outs
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  This model is a fine-tuned version of [biodatlab/whisper-th-small-combined](https://huggingface.co/biodatlab/whisper-th-small-combined) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.4709
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- - Cer: 22.5692
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 8e-05
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- - train_batch_size: 2
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- - eval_batch_size: 2
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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: 3.0
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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 | Cer |
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- |:-------------:|:-----:|:----:|:---------------:|:-------:|
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- | 0.331 | 1.0 | 1073 | 0.5864 | 28.8840 |
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- | 0.0946 | 2.0 | 2146 | 0.5397 | 29.5025 |
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- | 0.0442 | 3.0 | 3219 | 0.4709 | 22.5692 |
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-
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-
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  ### Framework versions
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  - Transformers 4.44.2
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- - Pytorch 2.4.1+cu121
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  - Datasets 3.0.0
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  - Tokenizers 0.19.1
 
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  # outs
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  This model is a fine-tuned version of [biodatlab/whisper-th-small-combined](https://huggingface.co/biodatlab/whisper-th-small-combined) on an unknown dataset.
 
 
 
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 8e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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: 3.0
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.44.2
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+ - Pytorch 2.4.0
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  - Datasets 3.0.0
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  - Tokenizers 0.19.1
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