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mapau
/
whisper-small-hr

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Croatian
whisper
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
Metrics Community
mapau commited on
Commit
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1 Parent(s): 90fa0cb

End of training

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Files changed (2) hide show
  1. README.md +12 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -24,7 +24,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 25.56675062972292
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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
@@ -34,8 +34,8 @@ 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 parlaSmall_subset dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5479
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- - Wer: 25.5668
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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: 1
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  - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 16
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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: linear
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  - lr_scheduler_warmup_steps: 500
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- - training_steps: 3000
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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 |
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- |:-------------:|:-----:|:----:|:---------------:|:-------:|
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- | 0.0003 | 32.52 | 1000 | 0.5035 | 26.3224 |
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- | 0.0001 | 65.04 | 2000 | 0.5380 | 25.8186 |
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- | 0.0001 | 97.56 | 3000 | 0.5479 | 25.5668 |
 
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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: 25.440806045340054
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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 parlaSmall_subset dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5739
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+ - Wer: 25.4408
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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: 2
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  - eval_batch_size: 8
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  - seed: 42
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+ - gradient_accumulation_steps: 8
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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: linear
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  - lr_scheduler_warmup_steps: 500
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+ - training_steps: 4000
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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 |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|
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+ | 0.0003 | 32.52 | 1000 | 0.5073 | 25.0630 |
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+ | 0.0001 | 65.04 | 2000 | 0.5470 | 25.5668 |
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+ | 0.0001 | 97.56 | 3000 | 0.5668 | 25.0630 |
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+ | 0.0 | 130.08 | 4000 | 0.5739 | 25.4408 |
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  ### Framework versions
model.safetensors CHANGED
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