AlirezaTirehkar commited on
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End of training

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  1. README.md +15 -15
  2. model.safetensors +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: 0.34887839433293977
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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: 0.6638
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- - Wer Ortho: 34.5466
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- - Wer: 0.3489
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  ## Model description
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@@ -59,7 +59,7 @@ The following hyperparameters were used during training:
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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: 500
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  - mixed_precision_training: Native AMP
@@ -68,16 +68,16 @@ 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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- | 0.7657 | 1.7857 | 50 | 0.5870 | 39.4818 | 0.3932 |
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- | 0.2562 | 3.5714 | 100 | 0.4866 | 34.8550 | 0.3483 |
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- | 0.0666 | 5.3571 | 150 | 0.5190 | 34.5466 | 0.3489 |
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- | 0.0228 | 7.1429 | 200 | 0.5649 | 32.4491 | 0.3288 |
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- | 0.0065 | 8.9286 | 250 | 0.5845 | 32.0173 | 0.3229 |
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- | 0.0018 | 10.7143 | 300 | 0.6142 | 33.6212 | 0.3400 |
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- | 0.0012 | 12.5 | 350 | 0.6320 | 33.3128 | 0.3371 |
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- | 0.0008 | 14.2857 | 400 | 0.6443 | 34.1764 | 0.3465 |
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- | 0.0007 | 16.0714 | 450 | 0.6548 | 34.2381 | 0.3447 |
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- | 0.0007 | 17.8571 | 500 | 0.6638 | 34.5466 | 0.3489 |
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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: 0.35360094451003543
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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: 0.6166
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+ - Wer Ortho: 0.3504
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+ - Wer: 0.3536
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  ## Model description
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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: linear
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  - lr_scheduler_warmup_steps: 50
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  - training_steps: 500
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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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+ | 0.7658 | 1.7857 | 50 | 0.5871 | 0.3948 | 0.3932 |
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+ | 0.2602 | 3.5714 | 100 | 0.4866 | 0.3504 | 0.3501 |
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+ | 0.0796 | 5.3571 | 150 | 0.5121 | 0.3424 | 0.3453 |
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+ | 0.0316 | 7.1429 | 200 | 0.5443 | 0.3374 | 0.3418 |
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+ | 0.0116 | 8.9286 | 250 | 0.5672 | 0.3202 | 0.3253 |
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+ | 0.0034 | 10.7143 | 300 | 0.5966 | 0.3529 | 0.3566 |
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+ | 0.0026 | 12.5 | 350 | 0.6046 | 0.3541 | 0.3583 |
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+ | 0.002 | 14.2857 | 400 | 0.6098 | 0.3498 | 0.3536 |
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+ | 0.002 | 16.0714 | 450 | 0.6146 | 0.3510 | 0.3542 |
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+ | 0.002 | 17.8571 | 500 | 0.6166 | 0.3504 | 0.3536 |
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  ### Framework versions
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