metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-fr
results: []
mt5-small-finetuned-amazon-en-fr
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9738
- Rouge1: 16.2618
- Rouge2: 8.4157
- Rougel: 15.7746
- Rougelsum: 15.6448
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: 5.6e-05
- 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
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 6.4338 | 1.0 | 1399 | 3.2788 | 12.6697 | 4.9248 | 12.0308 | 12.0007 |
| 3.8734 | 2.0 | 2798 | 3.1052 | 14.3438 | 7.2643 | 13.744 | 13.6593 |
| 3.5793 | 3.0 | 4197 | 3.0230 | 15.8565 | 8.5311 | 15.2736 | 15.2018 |
| 3.4243 | 4.0 | 5596 | 2.9943 | 16.1882 | 8.3288 | 15.6948 | 15.5725 |
| 3.3277 | 5.0 | 6995 | 2.9845 | 16.5005 | 8.6609 | 16.0231 | 15.9789 |
| 3.2652 | 6.0 | 8394 | 2.9793 | 15.8014 | 7.9576 | 15.3678 | 15.2699 |
| 3.2344 | 7.0 | 9793 | 2.9707 | 16.529 | 8.2051 | 15.9864 | 15.8459 |
| 3.1853 | 8.0 | 11192 | 2.9738 | 16.2618 | 8.4157 | 15.7746 | 15.6448 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3