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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-small |
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tags: |
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- summarization |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: mt5-small-finetuned-amazon-en-es |
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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-small-finetuned-amazon-en-es |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3554 |
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- Rouge1: 24.0279 |
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- Rouge2: 14.2784 |
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- Rougel: 23.3319 |
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- Rougelsum: 23.3852 |
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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: 5.6e-05 |
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- train_batch_size: 28 |
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- eval_batch_size: 28 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
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| 4.0088 | 1.0 | 4679 | 2.5872 | 21.5939 | 12.0659 | 20.9575 | 20.9943 | |
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| 2.92 | 2.0 | 9358 | 2.4859 | 22.4633 | 12.6865 | 21.7729 | 21.8407 | |
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| 2.7704 | 3.0 | 14037 | 2.4248 | 22.9471 | 13.2621 | 22.2334 | 22.274 | |
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| 2.6884 | 4.0 | 18716 | 2.3995 | 23.9663 | 14.0107 | 23.2218 | 23.2728 | |
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| 2.6323 | 5.0 | 23395 | 2.3759 | 24.057 | 14.1794 | 23.3209 | 23.3744 | |
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| 2.5971 | 6.0 | 28074 | 2.3649 | 24.0271 | 14.2326 | 23.3148 | 23.3478 | |
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| 2.5713 | 7.0 | 32753 | 2.3595 | 23.9268 | 14.1398 | 23.1927 | 23.2442 | |
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| 2.5577 | 8.0 | 37432 | 2.3554 | 24.0279 | 14.2784 | 23.3319 | 23.3852 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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