---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: google-t5/t5-small
model-index:
- name: T5_lyrics-model
  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_lyrics-model

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1808

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 250

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.3144        | 0.01  | 25   | 1.5334          |
| 1.2668        | 0.02  | 50   | 0.6688          |
| 1.021         | 0.03  | 75   | 0.3675          |
| 0.5247        | 0.03  | 100  | 0.3007          |
| 0.6415        | 0.04  | 125  | 0.2400          |
| 0.3774        | 0.05  | 150  | 0.2170          |
| 0.5336        | 0.06  | 175  | 0.1966          |
| 0.3201        | 0.07  | 200  | 0.1882          |
| 0.5068        | 0.08  | 225  | 0.1824          |
| 0.3218        | 0.08  | 250  | 0.1808          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 1.13.1
- Datasets 2.17.0
- Tokenizers 0.15.2