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--- |
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license: apache-2.0 |
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base_model: google/mt5-base |
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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-translation-spa-guc |
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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-translation-spa-guc |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4465 |
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- Bleu: 3.088 |
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- Gen Len: 16.5468 |
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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: 8 |
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- eval_batch_size: 8 |
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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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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 15 |
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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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| 2.3515 | 1.0 | 7668 | 2.3255 | 1.2092 | 16.8878 | |
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| 2.3229 | 2.0 | 15336 | 2.0343 | 1.3948 | 16.6967 | |
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| 1.828 | 3.0 | 23004 | 1.8707 | 1.7948 | 16.729 | |
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| 1.7692 | 4.0 | 30672 | 1.7654 | 1.9816 | 16.5538 | |
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| 3.1073 | 5.0 | 38340 | 1.6878 | 2.2335 | 16.6662 | |
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| 1.8726 | 6.0 | 46008 | 1.6280 | 2.4231 | 16.566 | |
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| 1.8611 | 7.0 | 53676 | 1.5870 | 2.5839 | 16.5724 | |
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| 1.4777 | 8.0 | 61344 | 1.5476 | 2.7415 | 16.5651 | |
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| 1.5331 | 9.0 | 69012 | 1.5181 | 2.8105 | 16.5862 | |
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| 1.6348 | 10.0 | 76680 | 1.4972 | 2.9386 | 16.582 | |
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| 1.2195 | 11.0 | 84348 | 1.4739 | 2.9339 | 16.578 | |
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| 1.8651 | 12.0 | 92016 | 1.4647 | 3.0058 | 16.5431 | |
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| 1.3484 | 13.0 | 99684 | 1.4537 | 3.079 | 16.5513 | |
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| 1.5675 | 14.0 | 107352 | 1.4484 | 3.0925 | 16.5496 | |
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| 1.6518 | 15.0 | 115020 | 1.4465 | 3.088 | 16.5468 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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