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---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- unsloth
- generated_from_trainer
base_model: unsloth/llama-3-8b-Instruct-bnb-4bit
model-index:
- name: llama3-chat_QA-test
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. -->
# llama3-chat_QA-test
This model is a fine-tuned version of [unsloth/llama-3-8b-Instruct-bnb-4bit](https://huggingface.co./unsloth/llama-3-8b-Instruct-bnb-4bit) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0283
## 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: 16
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.0046 | 0.2928 | 100 | 1.8727 |
| 1.7686 | 0.5857 | 200 | 1.8637 |
| 1.6753 | 0.8785 | 300 | 1.8871 |
| 1.5211 | 1.1713 | 400 | 1.9180 |
| 1.4003 | 1.4641 | 500 | 1.9352 |
| 1.3533 | 1.7570 | 600 | 1.9609 |
| 1.2794 | 2.0498 | 700 | 2.0143 |
| 1.1736 | 2.3426 | 800 | 2.0222 |
| 1.1609 | 2.6354 | 900 | 2.0301 |
| 1.1577 | 2.9283 | 1000 | 2.0283 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1 |