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# 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

{"tags": ["generated_from_trainer"], "model-index": [{"name": "20231201_Clinic-T5-Lrg_20ep_Summ", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us