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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/umt5-xl |
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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: bb84e5956fa4843c4c1fa82337692137 |
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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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# bb84e5956fa4843c4c1fa82337692137 |
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This model is a fine-tuned version of [google/umt5-xl](https://huggingface.co/google/umt5-xl) on the Helsinki-NLP/opus_books [fr-it] dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0099 |
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- Data Size: 1.0 |
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- Epoch Runtime: 205.5781 |
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- Bleu: 8.8433 |
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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: 5e-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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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 32 |
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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: constant |
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- num_epochs: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Bleu | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------------:|:-------:| |
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| No log | 0 | 0 | 5.2927 | 0 | 13.5941 | 2.2924 | |
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| No log | 1 | 367 | 4.3096 | 0.0078 | 15.5771 | 5.5344 | |
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| No log | 2 | 734 | 3.5125 | 0.0156 | 23.7748 | 10.6850 | |
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| No log | 3 | 1101 | 2.9758 | 0.0312 | 31.8804 | 14.5616 | |
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| No log | 4 | 1468 | 2.6384 | 0.0625 | 40.5064 | 15.9381 | |
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| 0.1899 | 5 | 1835 | 2.3644 | 0.125 | 52.6170 | 6.5791 | |
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| 2.7147 | 6 | 2202 | 2.1766 | 0.25 | 75.6631 | 7.1049 | |
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| 2.4397 | 7 | 2569 | 2.0553 | 0.5 | 117.8008 | 7.3811 | |
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| 2.1857 | 8.0 | 2936 | 1.9766 | 1.0 | 206.8776 | 8.0779 | |
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| 1.9886 | 9.0 | 3303 | 1.9395 | 1.0 | 206.6883 | 8.4148 | |
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| 1.761 | 10.0 | 3670 | 1.9255 | 1.0 | 205.8516 | 8.6401 | |
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| 1.6096 | 11.0 | 4037 | 1.9284 | 1.0 | 203.4900 | 8.7878 | |
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| 1.5012 | 12.0 | 4404 | 1.9467 | 1.0 | 205.5317 | 8.7877 | |
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| 1.4092 | 13.0 | 4771 | 1.9821 | 1.0 | 205.3684 | 8.8410 | |
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| 1.2512 | 14.0 | 5138 | 2.0099 | 1.0 | 205.5781 | 8.8433 | |
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### Framework versions |
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- Transformers 4.57.0 |
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- Pytorch 2.8.0+cu128 |
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- Datasets 4.2.0 |
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- Tokenizers 0.22.1 |
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