End of training
Browse files
README.md
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---
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library_name: transformers
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license: mit
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base_model: openai/whisper-large-v3-turbo
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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-large-v3-turbo-bn
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results: []
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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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should probably proofread and complete it, then remove this comment. -->
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# whisper-large-v3-turbo-bn
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This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1089
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- Model Preparation Time: 0.0054
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- Wer Ortho: 26.4357
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- Wer: 11.0532
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- Cer Ortho: 7.5370
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- Cer: 6.0587
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: Use OptimizerNames.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: 50
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- training_steps: 2000
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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 | Model Preparation Time | Wer Ortho | Wer | Cer Ortho | Cer |
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|:-------------:|:------:|:----:|:---------------:|:----------------------:|:---------:|:-------:|:---------:|:-------:|
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| 0.3227 | 0.2985 | 100 | 0.1940 | 0.0054 | 51.5425 | 24.7080 | 15.4053 | 12.4001 |
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| 0.1585 | 0.5970 | 200 | 0.1541 | 0.0054 | 43.2052 | 20.5941 | 13.2261 | 10.8048 |
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| 0.1296 | 0.8955 | 300 | 0.1284 | 0.0054 | 37.8651 | 17.2373 | 11.1337 | 9.0344 |
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| 0.0984 | 1.1940 | 400 | 0.1181 | 0.0054 | 35.7179 | 15.8488 | 10.4589 | 8.4411 |
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| 0.0831 | 1.4925 | 500 | 0.1117 | 0.0054 | 33.2943 | 14.7721 | 9.6520 | 7.8391 |
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| 0.0778 | 1.7910 | 600 | 0.1051 | 0.0054 | 31.8858 | 13.8226 | 9.1472 | 7.3725 |
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| 0.0676 | 2.0896 | 700 | 0.1034 | 0.0054 | 30.0816 | 13.0923 | 8.6039 | 6.9990 |
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| 0.0498 | 2.3881 | 800 | 0.0993 | 0.0054 | 29.2819 | 12.6100 | 8.3244 | 6.7352 |
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| 0.0487 | 2.6866 | 900 | 0.0960 | 0.0054 | 28.8242 | 12.4199 | 8.3398 | 6.6952 |
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| 0.0473 | 2.9851 | 1000 | 0.0946 | 0.0054 | 28.5619 | 12.1879 | 8.1810 | 6.6184 |
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| 0.0322 | 3.2836 | 1100 | 0.0994 | 0.0054 | 27.7306 | 11.7283 | 7.8936 | 6.3322 |
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| 0.0304 | 3.5821 | 1200 | 0.0974 | 0.0054 | 27.9168 | 11.8686 | 8.0736 | 6.4797 |
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| 0.0304 | 3.8806 | 1300 | 0.0956 | 0.0054 | 27.2904 | 11.4362 | 7.7514 | 6.2139 |
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| 0.0228 | 4.1791 | 1400 | 0.1023 | 0.0054 | 26.9930 | 11.2349 | 7.6544 | 6.1286 |
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| 0.0179 | 4.4776 | 1500 | 0.0998 | 0.0054 | 26.7448 | 11.1543 | 7.6114 | 6.1014 |
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| 0.0175 | 4.7761 | 1600 | 0.1014 | 0.0054 | 26.7975 | 11.1427 | 7.5925 | 6.0777 |
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| 0.0163 | 5.0746 | 1700 | 0.1075 | 0.0054 | 26.7530 | 11.1690 | 7.6298 | 6.1284 |
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| 0.01 | 5.3731 | 1800 | 0.1086 | 0.0054 | 26.5434 | 11.1396 | 7.5930 | 6.1084 |
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| 0.0097 | 5.6716 | 1900 | 0.1084 | 0.0054 | 26.5446 | 11.0813 | 7.5709 | 6.0733 |
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| 0.0096 | 5.9701 | 2000 | 0.1089 | 0.0054 | 26.4357 | 11.0532 | 7.5370 | 6.0587 |
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### Framework versions
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- Transformers 4.49.0
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- Pytorch 2.6.0+cu124
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- Datasets 3.3.2
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- Tokenizers 0.21.0
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generation_config.json
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|
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runs/Mar24_20-58-24_gpu-pod/events.out.tfevents.1742963020.gpu-pod.153636.1
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:d1f9ec2a6653927edb05cb3aa5e2129a4995a1d5a88b929800ca248738c7e7ad
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size 625
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