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End of training

Browse files
README.md CHANGED
@@ -1,4 +1,5 @@
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  ---
 
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  base_model: openai/whisper-small
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  tags:
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  - generated_from_trainer
@@ -21,7 +22,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 64.86486486486487
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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
@@ -31,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9392
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- - Wer Ortho: 64.8649
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- - Wer: 64.8649
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  ## Model description
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@@ -53,9 +54,11 @@ More information needed
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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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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: constant_with_warmup
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  - lr_scheduler_warmup_steps: 30
@@ -63,13 +66,13 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:--------:|
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- | 0.8766 | 20.0 | 60 | 1.1552 | 72.9730 | 267.5676 |
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- | 0.0002 | 40.0 | 120 | 0.9049 | 62.1622 | 64.8649 |
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- | 0.0 | 60.0 | 180 | 0.9195 | 64.8649 | 64.8649 |
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- | 0.0 | 80.0 | 240 | 0.9327 | 64.8649 | 64.8649 |
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- | 0.0 | 100.0 | 300 | 0.9392 | 64.8649 | 64.8649 |
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  ### Framework versions
 
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  ---
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+ license: apache-2.0
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  base_model: openai/whisper-small
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  tags:
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  - generated_from_trainer
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 67.56756756756756
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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-small](https://huggingface.co/openai/whisper-small) on the audiofolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9642
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+ - Wer Ortho: 67.5676
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+ - Wer: 67.5676
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  ## Model description
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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: 8
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+ - eval_batch_size: 8
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  - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: constant_with_warmup
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  - lr_scheduler_warmup_steps: 30
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
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+ | 0.8789 | 20.0 | 60 | 1.2473 | 70.2703 | 70.2703 |
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+ | 0.0015 | 40.0 | 120 | 0.9230 | 72.9730 | 72.9730 |
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+ | 0.0 | 60.0 | 180 | 0.9398 | 67.5676 | 67.5676 |
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+ | 0.0 | 80.0 | 240 | 0.9529 | 67.5676 | 67.5676 |
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+ | 0.0 | 100.0 | 300 | 0.9642 | 67.5676 | 67.5676 |
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  ### Framework versions
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