---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-poem
  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-small-finetuned-poem

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1360

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 282  | 0.1745          |
| 0.2047        | 2.0   | 564  | 0.1575          |
| 0.2047        | 3.0   | 846  | 0.1455          |
| 0.1506        | 4.0   | 1128 | 0.1429          |
| 0.1506        | 5.0   | 1410 | 0.1398          |
| 0.1383        | 6.0   | 1692 | 0.1385          |
| 0.1383        | 7.0   | 1974 | 0.1369          |
| 0.1328        | 8.0   | 2256 | 0.1417          |
| 0.1292        | 9.0   | 2538 | 0.1383          |
| 0.1292        | 10.0  | 2820 | 0.1370          |
| 0.1259        | 11.0  | 3102 | 0.1364          |
| 0.1259        | 12.0  | 3384 | 0.1342          |
| 0.1253        | 13.0  | 3666 | 0.1335          |
| 0.1253        | 14.0  | 3948 | 0.1315          |
| 0.1218        | 15.0  | 4230 | 0.1408          |
| 0.1223        | 16.0  | 4512 | 0.1337          |
| 0.1223        | 17.0  | 4794 | 0.1323          |
| 0.1204        | 18.0  | 5076 | 0.1372          |
| 0.1204        | 19.0  | 5358 | 0.1330          |
| 0.1202        | 20.0  | 5640 | 0.1378          |
| 0.1202        | 21.0  | 5922 | 0.1405          |
| 0.1191        | 22.0  | 6204 | 0.1386          |
| 0.1191        | 23.0  | 6486 | 0.1376          |
| 0.1193        | 24.0  | 6768 | 0.1343          |
| 0.1185        | 25.0  | 7050 | 0.1360          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1