Model save
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README.md
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@@ -3,9 +3,6 @@ library_name: transformers
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license: cc-by-nc-4.0
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base_model: facebook/mms-1b-all
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tags:
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- automatic-speech-recognition
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- bigcgen
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- mms
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- generated_from_trainer
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metrics:
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- wer
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@@ -19,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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# mms-1b-bigcgen-combined-20hrs-model
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This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on
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It achieves the following results on the evaluation set:
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- Loss: inf
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- Wer: 0.
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## Model description
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 100
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-
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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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| 14.
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| 6.
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### Framework versions
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license: cc-by-nc-4.0
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base_model: facebook/mms-1b-all
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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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# mms-1b-bigcgen-combined-20hrs-model
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This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: inf
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- Wer: 0.5167
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## Model description
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 100
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- training_steps: 2500
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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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| 14.8448 | 0.0762 | 100 | inf | 1.0079 |
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| 6.2506 | 0.1524 | 200 | inf | 1.0042 |
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| 5.5314 | 0.2287 | 300 | inf | 1.0270 |
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| 3.4418 | 0.3049 | 400 | inf | 0.5906 |
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| 1.9396 | 0.3811 | 500 | inf | 0.5762 |
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| 1.698 | 0.4573 | 600 | inf | 0.5566 |
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| 1.5483 | 0.5335 | 700 | inf | 0.5571 |
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| 1.6501 | 0.6098 | 800 | inf | 0.5487 |
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| 1.5528 | 0.6860 | 900 | inf | 0.5471 |
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| 1.5398 | 0.7622 | 1000 | inf | 0.5479 |
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| 1.6413 | 0.8384 | 1100 | inf | 0.5304 |
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| 1.418 | 0.9146 | 1200 | inf | 0.5283 |
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| 1.5625 | 0.9909 | 1300 | inf | 0.5265 |
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| 1.4753 | 1.0671 | 1400 | inf | 0.5347 |
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| 1.616 | 1.1433 | 1500 | inf | 0.5309 |
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| 1.3802 | 1.2195 | 1600 | inf | 0.5246 |
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| 1.4105 | 1.2957 | 1700 | inf | 0.5197 |
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| 1.3793 | 1.3720 | 1800 | inf | 0.5288 |
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| 1.3991 | 1.4482 | 1900 | inf | 0.5140 |
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| 1.5838 | 1.5244 | 2000 | inf | 0.5239 |
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| 1.6283 | 1.6006 | 2100 | inf | 0.5144 |
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| 1.4131 | 1.6768 | 2200 | inf | 0.5135 |
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| 1.388 | 1.7530 | 2300 | inf | 0.5137 |
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| 1.3846 | 1.8293 | 2400 | inf | 0.5145 |
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| 1.497 | 1.9055 | 2500 | inf | 0.5167 |
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### Framework versions
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model.safetensors
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runs/Dec29_00-15-49_srvrocgpu011.uct.ac.za/events.out.tfevents.1735424247.srvrocgpu011.uct.ac.za
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