YassineBenlaria
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continue training (tamasheq only feature extractor)
Browse files- README.md +10 -10
- pytorch_model.bin +1 -1
README.md
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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.
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- Wer: 0.
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## Model description
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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:
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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:
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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 Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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### Framework versions
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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: 1.3689
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- Wer: 0.8342
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## Model description
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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: 8
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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: 16
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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 Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 7.4856 | 5.71 | 300 | 2.9956 | 0.9974 |
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| 2.3903 | 11.43 | 600 | 1.2600 | 0.8816 |
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| 0.9577 | 17.14 | 900 | 1.1878 | 0.8342 |
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| 0.7051 | 22.86 | 1200 | 1.1907 | 0.8053 |
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| 0.5821 | 28.57 | 1500 | 1.2621 | 0.8316 |
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| 0.5037 | 34.29 | 1800 | 1.3689 | 0.8342 |
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### Framework versions
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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:b38d7dd7b1a594c232bef815eb7488de6a8f01d655b7c936d9b61e40f4d6f452
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size 1262078125
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