20231130_Clinic-T5-Base_30ep_Summ
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8581
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: 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 | 17.0247 |
| No log | 2.0 | 76 | 16.5034 |
| No log | 3.0 | 114 | 15.6444 |
| No log | 4.0 | 152 | 14.2924 |
| No log | 5.0 | 190 | 11.8023 |
| No log | 6.0 | 228 | 5.4032 |
| No log | 7.0 | 266 | 3.7098 |
| No log | 8.0 | 304 | 2.3450 |
| No log | 9.0 | 342 | 1.3799 |
| No log | 10.0 | 380 | 1.2035 |
| No log | 11.0 | 418 | 1.0931 |
| No log | 12.0 | 456 | 0.9507 |
| No log | 13.0 | 494 | 0.9109 |
| 8.1499 | 14.0 | 532 | 0.8942 |
| 8.1499 | 15.0 | 570 | 0.8811 |
| 8.1499 | 16.0 | 608 | 0.8727 |
| 8.1499 | 17.0 | 646 | 0.8644 |
| 8.1499 | 18.0 | 684 | 0.8581 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.14.1
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