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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/mt5-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: ef0fc60307b5ae3907cd626160675744 |
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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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# ef0fc60307b5ae3907cd626160675744 |
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This model is a fine-tuned version of [google/mt5-xl](https://huggingface.co/google/mt5-xl) on the Helsinki-NLP/opus_books [fi-pl] dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2386 |
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- Data Size: 1.0 |
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- Epoch Runtime: 45.3162 |
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- Bleu: 3.2749 |
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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 | 7.4356 | 0 | 3.0217 | 0.0092 | |
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| No log | 1 | 70 | 5.7502 | 0.0078 | 3.8717 | 0.0183 | |
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| No log | 2 | 140 | 4.5681 | 0.0156 | 11.2349 | 0.0596 | |
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| No log | 3 | 210 | 4.1004 | 0.0312 | 16.1280 | 0.1179 | |
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| No log | 4 | 280 | 3.9024 | 0.0625 | 22.6958 | 0.1069 | |
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| No log | 5 | 350 | 3.3192 | 0.125 | 29.0845 | 0.1753 | |
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| No log | 6 | 420 | 2.6971 | 0.25 | 29.2950 | 0.3854 | |
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| 0.6003 | 7 | 490 | 2.4368 | 0.5 | 36.5773 | 1.8668 | |
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| 2.7265 | 8.0 | 560 | 2.2457 | 1.0 | 59.0803 | 2.1418 | |
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| 2.3962 | 9.0 | 630 | 2.1955 | 1.0 | 43.3304 | 2.4797 | |
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| 2.1264 | 10.0 | 700 | 2.1957 | 1.0 | 47.0717 | 2.3341 | |
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| 1.9469 | 11.0 | 770 | 2.1982 | 1.0 | 45.4346 | 2.7379 | |
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| 1.8626 | 12.0 | 840 | 2.2279 | 1.0 | 52.1217 | 3.0321 | |
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| 1.6317 | 13.0 | 910 | 2.2386 | 1.0 | 45.3162 | 3.2749 | |
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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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