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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- xtreme_s |
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metrics: |
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- bleu |
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model-index: |
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- name: '' |
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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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# |
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This model was trained from scratch on the xtreme_s dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7768 |
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- Bleu: 0.0000 |
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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: 0.0003 |
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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: 16 |
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- total_train_batch_size: 128 |
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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: 3.0 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 2.5511 | 0.31 | 500 | 5.1039 | 0.0 | |
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| 2.2033 | 0.62 | 1000 | 4.1782 | 0.0000 | |
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| 1.4703 | 0.93 | 1500 | 2.8979 | 0.0000 | |
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| 1.6507 | 1.23 | 2000 | 2.2250 | 0.0000 | |
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| 1.6791 | 1.54 | 2500 | 2.0530 | 0.0000 | |
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| 1.4587 | 1.85 | 3000 | 1.9121 | 0.0000 | |
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| 1.288 | 2.16 | 3500 | 1.8705 | 0.0000 | |
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| 1.2244 | 2.47 | 4000 | 1.7940 | 0.0000 | |
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| 1.0364 | 2.78 | 4500 | 1.7768 | 0.0000 | |
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### Framework versions |
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- Transformers 4.19.0.dev0 |
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- Pytorch 1.10.2+cu113 |
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- Datasets 2.1.1.dev0 |
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- Tokenizers 0.11.0 |
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