---
tags:
- generated_from_trainer
model-index:
- name: 20231130_Clinic-T5-Base_30ep_Summ
  results: []
---

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# 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