---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-med_CoT
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# t5-base-med_CoT

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co./google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1456
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Blue: 0.2691
- Exact Match: 0.0

## 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: 4e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Blue   | Exact Match |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:------:|:-----------:|
| 2.6243        | 0.4545 | 20   | 2.2957          | 0.0    | 0.0    | 0.0    | 0.2691 | 0.0         |
| 2.5412        | 0.9091 | 40   | 2.2453          | 0.0    | 0.0    | 0.0    | 0.2691 | 0.0         |
| 2.4349        | 1.3636 | 60   | 2.2129          | 0.0    | 0.0    | 0.0    | 0.2691 | 0.0         |
| 2.4455        | 1.8182 | 80   | 2.1870          | 0.0    | 0.0    | 0.0    | 0.2691 | 0.0         |
| 2.4301        | 2.2727 | 100  | 2.1709          | 0.0    | 0.0    | 0.0    | 0.2691 | 0.0         |
| 2.3886        | 2.7273 | 120  | 2.1594          | 0.0    | 0.0    | 0.0    | 0.2691 | 0.0         |
| 2.34          | 3.1818 | 140  | 2.1510          | 0.0    | 0.0    | 0.0    | 0.2691 | 0.0         |
| 2.3932        | 3.6364 | 160  | 2.1456          | 0.0    | 0.0    | 0.0    | 0.2691 | 0.0         |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1