metadata
license: apache-2.0
base_model: t5-large
tags:
- generated_from_trainer
datasets:
- eur-lex-sum
model-index:
- name: T5_no_extraction_V1
results: []
T5_no_extraction_V1
This model is a fine-tuned version of t5-large on the eur-lex-sum dataset. It achieves the following results on the evaluation set:
- Loss: 2.4511
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.3854 | 1.0 | 69 | 4.0580 |
| 3.6609 | 2.0 | 138 | 3.1814 |
| 3.1288 | 3.0 | 207 | 2.8681 |
| 2.8599 | 4.0 | 276 | 2.7148 |
| 2.6823 | 5.0 | 345 | 2.6240 |
| 2.5613 | 6.0 | 414 | 2.5674 |
| 2.4737 | 7.0 | 483 | 2.5317 |
| 2.4 | 8.0 | 552 | 2.5075 |
| 2.3408 | 9.0 | 621 | 2.4859 |
| 2.2871 | 10.0 | 690 | 2.4718 |
| 2.242 | 11.0 | 759 | 2.4634 |
| 2.202 | 12.0 | 828 | 2.4565 |
| 2.1608 | 13.0 | 897 | 2.4491 |
| 2.1254 | 14.0 | 966 | 2.4462 |
| 2.0915 | 15.0 | 1035 | 2.4464 |
| 2.0628 | 16.0 | 1104 | 2.4454 |
| 2.03 | 17.0 | 1173 | 2.4398 |
| 2.0056 | 18.0 | 1242 | 2.4419 |
| 1.9766 | 19.0 | 1311 | 2.4435 |
| 1.9554 | 20.0 | 1380 | 2.4457 |
| 1.9353 | 21.0 | 1449 | 2.4470 |
| 1.9126 | 22.0 | 1518 | 2.4511 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.19.1