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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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- bleu |
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model-index: |
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- name: mt5-base_2_3 |
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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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# mt5-base_2_3 |
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This model is a fine-tuned version of [obokkkk/mt5-base_2](https://huggingface.co/obokkkk/mt5-base_2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1465 |
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- Bleu: 9.5474 |
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- Gen Len: 17.854 |
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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: 0.0001 |
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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: 64 |
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- total_train_batch_size: 512 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
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| No log | 1.0 | 175 | 1.1739 | 9.0271 | 17.8543 | |
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| No log | 2.0 | 350 | 1.1660 | 9.1398 | 17.8468 | |
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| 1.3653 | 3.0 | 525 | 1.1585 | 9.251 | 17.8656 | |
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| 1.3653 | 4.0 | 700 | 1.1538 | 9.3176 | 17.8476 | |
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| 1.3653 | 5.0 | 875 | 1.1518 | 9.3529 | 17.8608 | |
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| 1.2985 | 6.0 | 1050 | 1.1505 | 9.4818 | 17.8552 | |
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| 1.2985 | 7.0 | 1225 | 1.1475 | 9.499 | 17.8575 | |
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| 1.2985 | 8.0 | 1400 | 1.1471 | 9.5511 | 17.871 | |
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| 1.2632 | 9.0 | 1575 | 1.1459 | 9.5315 | 17.8547 | |
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| 1.2632 | 10.0 | 1750 | 1.1465 | 9.5474 | 17.854 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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