metadata
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-3b-instruct
tags:
- generated_from_trainer
model-index:
- name: results
results: []
results
This model is a fine-tuned version of meta-llama/Llama-3.2-3b-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2300
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: 3e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.9720 | 13 | 0.4116 |
| 0.819 | 1.9439 | 26 | 0.3048 |
| 0.3283 | 2.9907 | 40 | 0.2464 |
| 0.3283 | 3.9626 | 53 | 0.2307 |
| 0.2244 | 4.8598 | 65 | 0.2300 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0