metadata
library_name: transformers
license: other
base_model: meta-llama/Llama-3.2-3B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: t1_25k_v4_tag5
results: []
t1_25k_v4_tag5
This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the t1_25k_v4_tag5 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3343
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: 5e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3365 | 0.1447 | 100 | 0.4070 |
| 0.3231 | 0.2894 | 200 | 0.3755 |
| 0.3272 | 0.4342 | 300 | 0.3558 |
| 0.2767 | 0.5789 | 400 | 0.3474 |
| 0.3235 | 0.7236 | 500 | 0.3418 |
| 0.3842 | 0.8683 | 600 | 0.3348 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.6.0+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3