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rinabuoy/whisper-tiny-khmer-aug

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  1. README.md +21 -8
  2. model.safetensors +1 -1
README.md CHANGED
@@ -3,6 +3,8 @@ license: apache-2.0
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  base_model: openai/whisper-tiny
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: whisper-tiny-khmer-aug
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  results: []
@@ -15,13 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.9213
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- - eval_wer: 108.3185
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- - eval_runtime: 549.3345
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- - eval_samples_per_second: 1.809
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- - eval_steps_per_second: 0.115
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- - epoch: 2.0
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- - step: 1340
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  ## Model description
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@@ -51,9 +48,25 @@ The following hyperparameters were used during training:
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  - lr_scheduler_warmup_steps: 1000
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  - num_epochs: 10
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  ### Framework versions
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  - Transformers 4.44.0
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- - Pytorch 2.3.1+cu121
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  - Datasets 2.21.0
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  - Tokenizers 0.19.1
 
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  base_model: openai/whisper-tiny
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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: whisper-tiny-khmer-aug
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  results: []
 
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2697
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+ - Wer: 68.1206
 
 
 
 
 
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  ## Model description
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  - lr_scheduler_warmup_steps: 1000
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  - num_epochs: 10
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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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+ | 0.8969 | 1.0 | 670 | 0.4289 | 91.3572 |
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+ | 0.3822 | 2.0 | 1340 | 0.3025 | 79.3741 |
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+ | 0.292 | 3.0 | 2010 | 0.2727 | 85.6819 |
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+ | 0.2439 | 4.0 | 2680 | 0.2637 | 74.1365 |
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+ | 0.2124 | 5.0 | 3350 | 0.2548 | 70.2124 |
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+ | 0.1844 | 6.0 | 4020 | 0.2606 | 79.7470 |
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+ | 0.1651 | 7.0 | 4690 | 0.2505 | 68.5909 |
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+ | 0.1472 | 8.0 | 5360 | 0.2637 | 67.9261 |
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+ | 0.1344 | 9.0 | 6030 | 0.2672 | 66.2234 |
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+ | 0.1194 | 10.0 | 6700 | 0.2697 | 68.1206 |
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+
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+
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  ### Framework versions
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  - Transformers 4.44.0
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+ - Pytorch 2.3.1
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  - Datasets 2.21.0
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  - Tokenizers 0.19.1
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