metadata
base_model: meta-llama/Llama-3.2-1B-Instruct
library_name: peft
license: llama3.2
tags:
- generated_from_trainer
model-index:
- name: Llama-3.2-1B-Instruct
results: []
Llama-3.2-1B-Instruct
This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2812
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4538 | 0.1 | 100 | 0.4046 |
| 0.3315 | 0.2 | 200 | 0.3426 |
| 0.3151 | 0.3 | 300 | 0.3207 |
| 0.2916 | 0.4 | 400 | 0.3055 |
| 0.2663 | 0.5 | 500 | 0.2964 |
| 0.2718 | 0.6 | 600 | 0.2902 |
| 0.3185 | 0.7 | 700 | 0.2855 |
| 0.2546 | 0.8 | 800 | 0.2827 |
| 0.3406 | 0.9 | 900 | 0.2813 |
| 0.2892 | 1.0 | 1000 | 0.2812 |
Framework versions
- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1