20231201_Clinic-T5-Lrg_20ep_Summ
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9371
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 300 | 5.6145 |
| 8.0747 | 2.0 | 601 | 0.8678 |
| 8.0747 | 3.0 | 901 | 0.7914 |
| 0.7772 | 4.0 | 1202 | 0.7754 |
| 0.5674 | 5.0 | 1502 | 0.7975 |
| 0.5674 | 6.0 | 1803 | 0.8268 |
| 0.4281 | 7.0 | 2103 | 0.8667 |
| 0.4281 | 8.0 | 2404 | 0.8878 |
| 0.3408 | 9.0 | 2704 | 0.9371 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.14.1
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