20231130_Clinic-T5-Sci_30ep_Summ
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8446
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 38 | 13.2074 |
| No log | 2.0 | 76 | 12.3126 |
| No log | 3.0 | 114 | 10.8187 |
| No log | 4.0 | 152 | 8.3675 |
| No log | 5.0 | 190 | 3.8696 |
| No log | 6.0 | 228 | 2.2954 |
| No log | 7.0 | 266 | 1.4198 |
| No log | 8.0 | 304 | 1.2200 |
| No log | 9.0 | 342 | 1.1076 |
| No log | 10.0 | 380 | 0.9902 |
| No log | 11.0 | 418 | 0.9378 |
| No log | 12.0 | 456 | 0.9063 |
| No log | 13.0 | 494 | 0.8837 |
| 5.3959 | 14.0 | 532 | 0.8709 |
| 5.3959 | 15.0 | 570 | 0.8629 |
| 5.3959 | 16.0 | 608 | 0.8592 |
| 5.3959 | 17.0 | 646 | 0.8533 |
| 5.3959 | 18.0 | 684 | 0.8515 |
| 5.3959 | 19.0 | 722 | 0.8474 |
| 5.3959 | 20.0 | 760 | 0.8446 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.14.1
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