Commit
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continue training (tamasheq only feature extractor)
Browse files- README.md +66 -0
- pytorch_model.bin +1 -1
README.md
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---
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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: tamasheq-99-2.feature_ext-continue
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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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# tamasheq-99-2.feature_ext-continue
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5169
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- Wer: 0.8575
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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: 3e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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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- num_epochs: 200
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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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| 8.0502 | 15.79 | 300 | 3.0170 | 0.9972 |
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| 2.2958 | 31.58 | 600 | 1.2753 | 0.8575 |
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| 0.5807 | 47.37 | 900 | 1.2622 | 0.8547 |
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| 0.3897 | 63.16 | 1200 | 1.3396 | 0.8603 |
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| 0.311 | 78.95 | 1500 | 1.4590 | 0.8743 |
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| 0.2819 | 94.74 | 1800 | 1.5169 | 0.8575 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 1262078125
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version https://git-lfs.github.com/spec/v1
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oid sha256:b116d1297fc9e32224bc8cd77c48173fbd6b7dd18be04d55ccdccd0809e8affd
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size 1262078125
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