metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-es
results: []
mt5-small-finetuned-amazon-en-es
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: 3.0270
- Rouge1: 16.8614
- Rouge2: 8.3352
- Rougel: 16.5595
- Rougelsum: 16.5755
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 |
|---|---|---|---|---|---|---|---|
| 7.376 | 1.0 | 1209 | 3.3114 | 13.6834 | 5.4759 | 13.2778 | 13.3315 |
| 3.9197 | 2.0 | 2418 | 3.1662 | 15.4107 | 7.396 | 15.0443 | 15.0493 |
| 3.5954 | 3.0 | 3627 | 3.0844 | 15.4126 | 7.2537 | 15.0816 | 15.1281 |
| 3.4243 | 4.0 | 4836 | 3.0384 | 15.9869 | 7.7568 | 15.7054 | 15.6149 |
| 3.3145 | 5.0 | 6045 | 3.0512 | 17.3119 | 8.412 | 16.8461 | 16.7631 |
| 3.2597 | 6.0 | 7254 | 3.0237 | 16.7165 | 7.9706 | 16.4276 | 16.3935 |
| 3.2094 | 7.0 | 8463 | 3.0308 | 17.4737 | 8.7048 | 17.0836 | 17.0624 |
| 3.1886 | 8.0 | 9672 | 3.0270 | 16.8614 | 8.3352 | 16.5595 | 16.5755 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cpu
- Datasets 2.14.5
- Tokenizers 0.13.3