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---
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 |