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miosipof
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asr_IT_AUG_Synth

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End of training

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  1. README.md +10 -14
  2. adapter_model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -24,7 +24,7 @@ model-index:
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  args: default
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  metrics:
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  - type: wer
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- value: 171.5307582260372
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  name: Wer
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  ---
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@@ -35,8 +35,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the ASR_Synthetic_Speecht5_TTS dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.9413
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- - Wer: 171.5308
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  ## Model description
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@@ -64,21 +64,17 @@ The following hyperparameters were used during training:
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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: 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 |
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- |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 6.8678 | 0.0244 | 25 | 4.4434 | 154.2203 |
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- | 2.6877 | 0.0489 | 50 | 3.4026 | 144.0629 |
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- | 1.8792 | 0.0733 | 75 | 3.2962 | 77.3963 |
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- | 1.5587 | 0.0978 | 100 | 3.2969 | 78.9700 |
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- | 1.4194 | 0.1222 | 125 | 2.9920 | 75.1073 |
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- | 1.2356 | 0.1467 | 150 | 2.9471 | 184.2632 |
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- | 1.1741 | 0.1711 | 175 | 2.9542 | 189.4134 |
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- | 1.0451 | 0.1956 | 200 | 2.9413 | 171.5308 |
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  ### Framework versions
 
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  args: default
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  metrics:
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  - type: wer
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+ value: 141.63090128755366
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  name: Wer
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  ---
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the ASR_Synthetic_Speecht5_TTS dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 9.8059
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+ - Wer: 141.6309
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  ## Model description
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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: 100
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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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+ | 6.891 | 0.0244 | 25 | 4.4284 | 157.0815 |
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+ | 3.4032 | 0.0489 | 50 | 5.4864 | 1025.8941 |
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+ | 6.9892 | 0.0733 | 75 | 11.7361 | 120.7439 |
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+ | 7.1852 | 0.0978 | 100 | 9.8059 | 141.6309 |
 
 
 
 
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  ### Framework versions
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