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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: utrobinmv/t5_translate_en_ru_zh_small_1024 |
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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: my_awesome_books_model_2 |
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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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# my_awesome_books_model_2 |
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This model is a fine-tuned version of [utrobinmv/t5_translate_en_ru_zh_small_1024](https://huggingface.co/utrobinmv/t5_translate_en_ru_zh_small_1024) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9046 |
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- Bleu: 41.4247 |
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- Gen Len: 39.2936 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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: linear |
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- num_epochs: 4 |
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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 | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| 1.2723 | 1.0 | 2229 | 1.0163 | 38.3982 | 39.2681 | |
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| 1.1332 | 2.0 | 4458 | 0.9423 | 40.3418 | 39.2605 | |
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| 1.0652 | 3.0 | 6687 | 0.9150 | 41.1569 | 39.2867 | |
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| 1.027 | 4.0 | 8916 | 0.9046 | 41.4247 | 39.2936 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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