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End of training

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  1. README.md +21 -5
  2. generation_config.json +1 -1
README.md CHANGED
@@ -2,9 +2,11 @@
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  language:
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  - hi
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  license: apache-2.0
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- base_model: joey234/whisper-medium-vi
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: base
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  results: []
@@ -15,7 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # base
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- This model is a fine-tuned version of [joey234/whisper-medium-vi](https://huggingface.co/joey234/whisper-medium-vi) on the tutorial Voice 11.0 dataset.
 
 
 
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  ## Model description
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@@ -35,8 +40,8 @@ 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: 64
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- - eval_batch_size: 64
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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
@@ -44,9 +49,20 @@ The following hyperparameters were used during training:
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  - training_steps: 5000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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- - Datasets 2.16.0
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  - Tokenizers 0.15.0
 
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  language:
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  - hi
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  license: apache-2.0
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+ base_model: reproductionguru/voicetest6
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - wer
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  model-index:
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  - name: base
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  results: []
 
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  # base
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+ This model is a fine-tuned version of [reproductionguru/voicetest6](https://huggingface.co/reproductionguru/voicetest6) on the tutorial Voice 11.0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4757
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+ - Wer: 21.0355
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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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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  - training_steps: 5000
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.4953 | 0.4 | 1000 | 0.6332 | 30.4347 |
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+ | 0.408 | 0.8 | 2000 | 0.5400 | 25.3584 |
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+ | 0.2074 | 1.2 | 3000 | 0.5097 | 23.7629 |
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+ | 0.1796 | 1.61 | 4000 | 0.4885 | 21.6339 |
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+ | 0.1583 | 2.01 | 5000 | 0.4757 | 21.0355 |
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+
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+
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  ### Framework versions
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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  - Tokenizers 0.15.0
generation_config.json CHANGED
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  {
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- "_from_model_config": true,
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  "begin_suppress_tokens": [
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  220,
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  50257
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  "eos_token_id": 50257,
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  "max_length": 448,
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  "pad_token_id": 50257,
 
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  "transformers_version": "4.35.2"
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  }
 
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  {
 
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  "begin_suppress_tokens": [
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  220,
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  50257
 
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  "eos_token_id": 50257,
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  "max_length": 448,
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  "pad_token_id": 50257,
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+ "return_timestamps": false,
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  "transformers_version": "4.35.2"
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  }