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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/Oct07_16-14-37_45290512b5de/events.out.tfevents.1728317679.45290512b5de.458.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.1519
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- - Cer: 8.9552
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  ## Model description
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@@ -36,26 +36,26 @@ 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: 5e-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: 2.0
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  - total_train_batch_size: 32.0
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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: 5.0
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  - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Cer |
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- |:-------------:|:------:|:----:|:---------------:|:-------:|
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- | No log | 0.9926 | 67 | 0.1685 | 12.3736 |
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- | 0.2871 | 2.0 | 135 | 0.1807 | 9.6236 |
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- | 0.0975 | 2.9926 | 202 | 0.1606 | 9.3376 |
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- | 0.0975 | 4.0 | 270 | 0.1543 | 9.8597 |
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- | 0.0467 | 4.9630 | 335 | 0.1519 | 8.9552 |
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  ### Framework versions
 
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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: 0.1148
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+ - Cer: 8.3732
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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: 2e-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: 2.0
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  - total_train_batch_size: 32.0
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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  - num_epochs: 5.0
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  - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Cer |
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+ |:-------------:|:------:|:----:|:---------------:|:------:|
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+ | No log | 0.9926 | 67 | 0.1328 | 7.6982 |
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+ | 0.2693 | 2.0 | 135 | 0.1273 | 7.8379 |
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+ | 0.0931 | 2.9926 | 202 | 0.1198 | 6.8236 |
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+ | 0.0931 | 4.0 | 270 | 0.1176 | 8.2136 |
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+ | 0.0505 | 4.9630 | 335 | 0.1148 | 8.3732 |
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  ### Framework versions
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