metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-dataset2
results: []
mt5-small-dataset2
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: 1.5680
- Rouge1: 0.556
- Rouge2: 0.2002
- Rougel: 0.5256
- Rougelsum: 0.5248
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 |
|---|---|---|---|---|---|---|---|
| 4.4723 | 1.0 | 500 | 2.1274 | 0.3988 | 0.082 | 0.373 | 0.3729 |
| 2.2471 | 2.0 | 1000 | 1.8718 | 0.4855 | 0.1556 | 0.4623 | 0.4617 |
| 2.0198 | 3.0 | 1500 | 1.7499 | 0.5365 | 0.1946 | 0.5122 | 0.5112 |
| 1.8858 | 4.0 | 2000 | 1.6731 | 0.5431 | 0.1957 | 0.5179 | 0.5174 |
| 1.803 | 5.0 | 2500 | 1.6180 | 0.5562 | 0.2093 | 0.5296 | 0.5294 |
| 1.7344 | 6.0 | 3000 | 1.5948 | 0.5561 | 0.2008 | 0.5254 | 0.5249 |
| 1.7034 | 7.0 | 3500 | 1.5644 | 0.5608 | 0.2069 | 0.5314 | 0.5305 |
| 1.6794 | 8.0 | 4000 | 1.5680 | 0.556 | 0.2002 | 0.5256 | 0.5248 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0