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---
license: apache-2.0
base_model: huggingface-course/mt5-finetuned-amazon-en-es
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_fine_tuned_t5_small_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_fine_tuned_t5_small_model
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.
It achieves the following results on the evaluation set:
- Loss: 2.1069
- Rouge1: 26.742
- Rouge2: 7.9622
- Rougel: 20.4423
- Rougelsum: 20.7426
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 3000
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 4.428 | 1.0 | 13 | 2.8216 | 19.1382 | 5.389 | 15.1855 | 15.1893 |
| 4.299 | 2.0 | 26 | 2.6894 | 19.6236 | 5.4931 | 15.4001 | 15.5122 |
| 4.0999 | 3.0 | 39 | 2.5552 | 22.2435 | 6.6021 | 17.2465 | 17.4679 |
| 3.8541 | 4.0 | 52 | 2.4394 | 23.3478 | 7.1578 | 18.4112 | 18.6265 |
| 3.6964 | 5.0 | 65 | 2.3568 | 25.092 | 7.4595 | 19.3078 | 19.5198 |
| 3.5481 | 6.0 | 78 | 2.3018 | 26.0743 | 8.0058 | 19.9644 | 20.2044 |
| 3.2977 | 7.0 | 91 | 2.2207 | 26.8852 | 7.9185 | 20.5406 | 20.7554 |
| 3.2768 | 8.0 | 104 | 2.1832 | 26.3885 | 7.9643 | 20.3863 | 20.6338 |
| 3.2047 | 9.0 | 117 | 2.1403 | 26.598 | 7.883 | 20.3585 | 20.4868 |
| 3.0813 | 10.0 | 130 | 2.1069 | 26.742 | 7.9622 | 20.4423 | 20.7426 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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