---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
model-index:
- name: t5-base-finetuned-poemV2
  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-finetuned-poemV2

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1041

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 282  | 0.1235          |
| 0.1391        | 2.0   | 564  | 0.1177          |
| 0.1391        | 3.0   | 846  | 0.1142          |
| 0.1209        | 4.0   | 1128 | 0.1133          |
| 0.1209        | 5.0   | 1410 | 0.1106          |
| 0.1141        | 6.0   | 1692 | 0.1137          |
| 0.1141        | 7.0   | 1974 | 0.1099          |
| 0.1113        | 8.0   | 2256 | 0.1059          |
| 0.1088        | 9.0   | 2538 | 0.1064          |
| 0.1088        | 10.0  | 2820 | 0.1070          |
| 0.1087        | 11.0  | 3102 | 0.1059          |
| 0.1087        | 12.0  | 3384 | 0.1054          |
| 0.1059        | 13.0  | 3666 | 0.1053          |
| 0.1059        | 14.0  | 3948 | 0.1050          |
| 0.1052        | 15.0  | 4230 | 0.1057          |
| 0.1049        | 16.0  | 4512 | 0.1044          |
| 0.1049        | 17.0  | 4794 | 0.1049          |
| 0.1035        | 18.0  | 5076 | 0.1044          |
| 0.1035        | 19.0  | 5358 | 0.1039          |
| 0.1034        | 20.0  | 5640 | 0.1041          |


### Framework versions

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