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--- |
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license: apache-2.0 |
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base_model: huggingface-course/mt5-finetuned-amazon-en-es |
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tags: |
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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: my_fine_tuned_t5_small_model |
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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_fine_tuned_t5_small_model |
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This model is a fine-tuned version of [huggingface-course/mt5-finetuned-amazon-en-es](https://huggingface.co/huggingface-course/mt5-finetuned-amazon-en-es) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1069 |
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- Rouge1: 26.742 |
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- Rouge2: 7.9622 |
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- Rougel: 20.4423 |
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- Rougelsum: 20.7426 |
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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: 0.001 |
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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: 3000 |
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- num_epochs: 10 |
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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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| 4.428 | 1.0 | 13 | 2.8216 | 19.1382 | 5.389 | 15.1855 | 15.1893 | |
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| 4.299 | 2.0 | 26 | 2.6894 | 19.6236 | 5.4931 | 15.4001 | 15.5122 | |
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| 4.0999 | 3.0 | 39 | 2.5552 | 22.2435 | 6.6021 | 17.2465 | 17.4679 | |
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| 3.8541 | 4.0 | 52 | 2.4394 | 23.3478 | 7.1578 | 18.4112 | 18.6265 | |
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| 3.6964 | 5.0 | 65 | 2.3568 | 25.092 | 7.4595 | 19.3078 | 19.5198 | |
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| 3.5481 | 6.0 | 78 | 2.3018 | 26.0743 | 8.0058 | 19.9644 | 20.2044 | |
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| 3.2977 | 7.0 | 91 | 2.2207 | 26.8852 | 7.9185 | 20.5406 | 20.7554 | |
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| 3.2768 | 8.0 | 104 | 2.1832 | 26.3885 | 7.9643 | 20.3863 | 20.6338 | |
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| 3.2047 | 9.0 | 117 | 2.1403 | 26.598 | 7.883 | 20.3585 | 20.4868 | |
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| 3.0813 | 10.0 | 130 | 2.1069 | 26.742 | 7.9622 | 20.4423 | 20.7426 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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