metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-lower
results: []
mt5-small-lower
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: 2.2645
- Rouge1: 21.3986
- Rouge2: 0.0
- Rougel: 21.4078
- Rougelsum: 21.5242
- Gen Len: 14.4947
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: 5e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.9469 | 1.0 | 6877 | 2.5088 | 21.3986 | 0.0 | 21.4078 | 21.5242 | 10.4989 |
| 2.6632 | 2.0 | 13754 | 2.3772 | 21.3986 | 0.0 | 21.4078 | 21.5242 | 14.1979 |
| 2.5438 | 3.0 | 20631 | 2.3055 | 21.3986 | 0.0 | 21.4078 | 21.5242 | 14.1095 |
| 2.5355 | 4.0 | 27508 | 2.2747 | 21.3986 | 0.0 | 21.4078 | 21.5242 | 14.3832 |
| 2.4597 | 5.0 | 34385 | 2.2645 | 21.3986 | 0.0 | 21.4078 | 21.5242 | 14.4947 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1