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--- |
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license: mit |
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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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model-index: |
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- name: iva_mt_wslot-m2m100_418M-0.1.0 |
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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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# iva_mt_wslot-m2m100_418M-0.1.0 |
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This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0176 |
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- Bleu: 61.6249 |
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- Gen Len: 21.157 |
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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: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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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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- num_epochs: 10 |
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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 | Bleu | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
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| 0.0178 | 1.0 | 5091 | 0.0171 | 57.4439 | 21.1396 | |
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| 0.013 | 2.0 | 10182 | 0.0159 | 58.886 | 21.2285 | |
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| 0.0091 | 3.0 | 15273 | 0.0157 | 60.159 | 21.1222 | |
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| 0.0073 | 4.0 | 20364 | 0.0159 | 60.5893 | 21.1212 | |
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| 0.0054 | 5.0 | 25455 | 0.0161 | 60.6484 | 21.0679 | |
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| 0.004 | 6.0 | 30546 | 0.0166 | 61.5283 | 21.0875 | |
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| 0.0031 | 7.0 | 35637 | 0.0169 | 61.0439 | 21.1562 | |
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| 0.0024 | 8.0 | 40728 | 0.0172 | 61.9427 | 21.2203 | |
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| 0.0018 | 9.0 | 45819 | 0.0175 | 61.7325 | 21.1478 | |
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| 0.0014 | 10.0 | 50910 | 0.0176 | 61.6249 | 21.157 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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