metadata
license: other
library_name: peft
tags:
- generated_from_trainer
base_model: astronomer/Llama-3-8B-Instruct-GPTQ-4-Bit
model-index:
- name: agrobot-llama3-ft
results: []
agrobot-llama3-ft
This model is a fine-tuned version of astronomer/Llama-3-8B-Instruct-GPTQ-4-Bit on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2823
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: 0.0002
- 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: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9019 | 0.99 | 102 | 1.3273 |
| 1.2748 | 2.0 | 205 | 1.2789 |
| 1.2161 | 3.0 | 308 | 1.2589 |
| 1.169 | 4.0 | 411 | 1.2442 |
| 1.1345 | 4.99 | 513 | 1.2419 |
| 1.082 | 6.0 | 616 | 1.2458 |
| 1.0441 | 7.0 | 719 | 1.2556 |
| 1.0127 | 8.0 | 822 | 1.2673 |
| 0.9982 | 8.99 | 924 | 1.2744 |
| 0.9672 | 9.93 | 1020 | 1.2823 |
Framework versions
- PEFT 0.11.1
- Transformers 4.39.3
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2