End of training
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- generation_config.json +1 -1
README.md
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@@ -4,6 +4,9 @@ license: cc-by-nc-4.0
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base_model: facebook/nllb-200-distilled-600M
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tags:
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- generated_from_trainer
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model-index:
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- name: nllb-200-distilled-600M-en2bem
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results: []
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@@ -15,6 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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# nllb-200-distilled-600M-en2bem
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This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the None dataset.
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## Model description
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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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- optimizer: Use
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step
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### Framework versions
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- Transformers 4.
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- Pytorch 2.
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- Datasets 3.
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- Tokenizers 0.21.
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base_model: facebook/nllb-200-distilled-600M
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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- wer
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model-index:
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- name: nllb-200-distilled-600M-en2bem
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results: []
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# nllb-200-distilled-600M-en2bem
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This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3204
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- Bleu: 8.51
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- Chrf: 48.32
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- Wer: 83.1036
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## Model description
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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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- 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_ratio: 0.03
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Wer |
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|:-------------:|:-----:|:-----:|:---------------:|:----:|:-----:|:-------:|
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| 0.2594 | 1.0 | 5240 | 0.3208 | 7.99 | 47.42 | 83.9565 |
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| 0.2469 | 2.0 | 10480 | 0.3169 | 8.08 | 47.92 | 83.4161 |
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| 0.2148 | 3.0 | 15720 | 0.3204 | 8.51 | 48.32 | 83.1036 |
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### Framework versions
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- Transformers 4.47.1
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- Pytorch 2.5.1+cu121
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- Datasets 3.4.0
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- Tokenizers 0.21.0
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generation_config.json
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"eos_token_id": 2,
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"max_length": 200,
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"pad_token_id": 1,
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"transformers_version": "4.
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}
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"eos_token_id": 2,
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"max_length": 200,
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"pad_token_id": 1,
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"transformers_version": "4.47.1"
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}
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