results_mt5_xl-sum_new
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
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
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 1.2671 | 1.7058 | 500 | 1.1705 |
| 1.2374 | 3.4115 | 1000 | 1.1640 |
| 1.222 | 5.1173 | 1500 | 1.1602 |
| 1.2051 | 6.8230 | 2000 | 1.1569 |
| 1.1955 | 8.5288 | 2500 | 1.1566 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
