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mt5-base-finetuned
This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4443
- Rouge1: 0.2523
- Rouge2: 0.2151
- Rougel: 0.2477
- Rougelsum: 0.2501
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: 2
- eval_batch_size: 2
- 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 |
|---|---|---|---|---|---|---|---|
| 0.8153 | 1.0 | 7131 | 0.4937 | 0.252 | 0.2141 | 0.247 | 0.2496 |
| 0.4935 | 2.0 | 14262 | 0.4474 | 0.253 | 0.2151 | 0.248 | 0.2505 |
| 0.4494 | 3.0 | 21393 | 0.4443 | 0.2523 | 0.2151 | 0.2477 | 0.2501 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1
