metadata
base_model: meta-llama/Llama-3.2-3B
library_name: peft
license: mit
tags:
- generated_from_trainer
model-index:
- name: llama3.2-finetuned
results: []
datasets:
- ashuwhy/poplyrics-1k
llama3.2-poplyrics-1k
This model is a fine-tuned version of meta-llama/Llama-3.2-3B on my dataset ashuwhy/poplyrics-1k. It achieves the following results on the evaluation set:
- Loss: 1.4958
Model description
It generate pop lyrics.
Intended uses & limitations
For generating pop lyrics, it generates trashy lyrics.
Training and evaluation data
Later, more training needed.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4989 | 1.1111 | 500 | 1.5091 |
| 1.6184 | 2.2222 | 1000 | 1.4958 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1