manjugeorge commited on
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End of training

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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: 100.22988505747125
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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 Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7074
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- - Wer: 100.2299
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  ## Model description
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@@ -61,21 +61,23 @@ 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: 500
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- - training_steps: 4000
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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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- | 0.0049 | 37.0370 | 1000 | 0.5807 | 112.6437 |
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- | 0.0 | 74.0741 | 2000 | 0.6738 | 102.2989 |
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- | 0.0 | 111.1111 | 3000 | 0.6989 | 100.6897 |
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- | 0.0 | 148.1481 | 4000 | 0.7074 | 100.2299 |
 
 
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  ### Framework versions
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- - Transformers 4.40.2
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 99.08045977011494
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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 Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7138
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+ - Wer: 99.0805
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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: 500
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+ - training_steps: 6000
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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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+ | 0.0069 | 37.0370 | 1000 | 0.6246 | 145.0575 |
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+ | 0.0025 | 74.0741 | 2000 | 0.6177 | 99.3103 |
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+ | 0.0 | 111.1111 | 3000 | 0.6737 | 101.3793 |
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+ | 0.0 | 148.1481 | 4000 | 0.6957 | 99.0805 |
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+ | 0.0 | 185.1852 | 5000 | 0.7087 | 99.3103 |
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+ | 0.0 | 222.2222 | 6000 | 0.7138 | 99.0805 |
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  ### Framework versions
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+ - Transformers 4.41.0
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
config.json CHANGED
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  "torch_dtype": "float32",
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- "transformers_version": "4.40.2",
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  "use_cache": true,
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  "use_weighted_layer_sum": false,
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  "vocab_size": 51865
 
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  "vocab_size": 51865
generation_config.json CHANGED
@@ -252,5 +252,5 @@
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  "transcribe": 50359,
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  "translate": 50358
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  },
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- "transformers_version": "4.40.2"
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  }
 
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