metadata
library_name: peft
license: llama3.1
base_model: meta-llama/Llama-3.1-8B-Instruct
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: Llama-3.1-8B-Instruct-PsyCourse-info-fold7
results: []
Llama-3.1-8B-Instruct-PsyCourse-info-fold7
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the course-info-train-fold7 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1360
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5179 | 0.3951 | 10 | 0.4364 |
| 0.258 | 0.7901 | 20 | 0.2394 |
| 0.1759 | 1.1852 | 30 | 0.1926 |
| 0.1809 | 1.5802 | 40 | 0.1727 |
| 0.139 | 1.9753 | 50 | 0.1641 |
| 0.0997 | 2.3704 | 60 | 0.1506 |
| 0.1006 | 2.7654 | 70 | 0.1451 |
| 0.0925 | 3.1605 | 80 | 0.1404 |
| 0.0913 | 3.5556 | 90 | 0.1377 |
| 0.0819 | 3.9506 | 100 | 0.1360 |
| 0.0913 | 4.3457 | 110 | 0.1376 |
| 0.0575 | 4.7407 | 120 | 0.1380 |
Framework versions
- PEFT 0.12.0
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3