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# 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

{"tags": ["generated_from_trainer"], "model-index": [{"name": "20231130_Clinic-T5-Sci_30ep_Summ", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us