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---
license: llama3
library_name: peft
tags:
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B
model-index:
- name: query
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# query
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3182
## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 32
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 4 | 14.3920 |
| No log | 2.0 | 8 | 13.2479 |
| No log | 3.0 | 12 | 12.0852 |
| No log | 4.0 | 16 | 10.4945 |
| No log | 5.0 | 20 | 8.7942 |
| No log | 6.0 | 24 | 6.9466 |
| No log | 7.0 | 28 | 4.9444 |
| No log | 8.0 | 32 | 2.8411 |
| No log | 9.0 | 36 | 1.2720 |
| No log | 10.0 | 40 | 0.7259 |
| No log | 11.0 | 44 | 0.5651 |
| No log | 12.0 | 48 | 0.5014 |
| No log | 13.0 | 52 | 0.4775 |
| No log | 14.0 | 56 | 0.4608 |
| No log | 15.0 | 60 | 0.4456 |
| No log | 16.0 | 64 | 0.4314 |
| No log | 17.0 | 68 | 0.4171 |
| No log | 18.0 | 72 | 0.4032 |
| No log | 19.0 | 76 | 0.3910 |
| No log | 20.0 | 80 | 0.3808 |
| No log | 21.0 | 84 | 0.3719 |
| No log | 22.0 | 88 | 0.3638 |
| No log | 23.0 | 92 | 0.3561 |
| No log | 24.0 | 96 | 0.3491 |
| No log | 25.0 | 100 | 0.3426 |
| No log | 26.0 | 104 | 0.3370 |
| No log | 27.0 | 108 | 0.3320 |
| No log | 28.0 | 112 | 0.3278 |
| No log | 29.0 | 116 | 0.3241 |
| No log | 30.0 | 120 | 0.3216 |
| No log | 31.0 | 124 | 0.3195 |
| No log | 32.0 | 128 | 0.3182 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1 |