metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-xlsum-en-es
results: []
mt5-small-finetuned-xlsum-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: 2.9483
- Rouge1: 19.42
- Rouge2: 4.44
- Rougel: 16.7
- Rougelsum: 16.7
- Mean Len: 16.3231
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Mean Len |
|---|---|---|---|---|---|---|---|---|
| 6.7763 | 1.0 | 1237 | 3.1120 | 13.57 | 2.76 | 11.59 | 11.59 | 12.6116 |
| 4.1022 | 2.0 | 2474 | 2.9718 | 19.35 | 4.32 | 16.63 | 16.64 | 16.3084 |
| 3.9219 | 3.0 | 3711 | 2.9483 | 19.42 | 4.44 | 16.7 | 16.7 | 16.3231 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2