rambaldi47 commited on
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End of training

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README.md CHANGED
@@ -22,7 +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: 0.6735537190082644
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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
@@ -32,9 +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-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: 0.7357
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- - Wer Ortho: 0.6860
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- - Wer: 0.6736
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  ## Model description
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@@ -53,32 +53,24 @@ 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-06
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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: 50
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- - training_steps: 600
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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 | Wer Ortho | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
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- | 2.2141 | 1.79 | 50 | 1.4145 | 0.5077 | 0.4044 |
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- | 0.4779 | 3.57 | 100 | 0.6149 | 0.4571 | 0.3967 |
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- | 0.2486 | 5.36 | 150 | 0.5744 | 0.4405 | 0.3808 |
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- | 0.1641 | 7.14 | 200 | 0.5754 | 0.4368 | 0.3802 |
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- | 0.0912 | 8.93 | 250 | 0.5966 | 0.4399 | 0.3985 |
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- | 0.0385 | 10.71 | 300 | 0.6222 | 0.4324 | 0.3996 |
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- | 0.0203 | 12.5 | 350 | 0.6532 | 0.4861 | 0.4616 |
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- | 0.0079 | 14.29 | 400 | 0.6867 | 0.5503 | 0.5331 |
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- | 0.0039 | 16.07 | 450 | 0.7002 | 0.5713 | 0.5555 |
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- | 0.0026 | 17.86 | 500 | 0.7144 | 0.6428 | 0.6275 |
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- | 0.0021 | 19.64 | 550 | 0.7275 | 0.6619 | 0.6499 |
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- | 0.0017 | 21.43 | 600 | 0.7357 | 0.6860 | 0.6736 |
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  ### Framework versions
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 0.4244391971664699
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  ---
27
 
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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: 0.6467
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+ - Wer Ortho: 0.4534
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+ - Wer: 0.4244
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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: 4e-06
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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: 50
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+ - training_steps: 200
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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 | Wer Ortho | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
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+ | 0.1212 | 1.79 | 50 | 0.5863 | 0.4584 | 0.4085 |
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+ | 0.0775 | 3.57 | 100 | 0.5957 | 0.4442 | 0.3991 |
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+ | 0.0415 | 5.36 | 150 | 0.6280 | 0.4399 | 0.4091 |
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+ | 0.0208 | 7.14 | 200 | 0.6467 | 0.4534 | 0.4244 |
 
 
 
 
 
 
 
 
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  ### Framework versions
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