---
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B
model-index:
- name: LLama3_deneme
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# LLama3_deneme

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 emollms_ei_oc_mixed dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0802

## 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: 0.0003
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.3319        | 0.3320 | 10   | 0.1265          |
| 0.113         | 0.6639 | 20   | 0.0951          |
| 0.0961        | 0.9959 | 30   | 0.0864          |
| 0.0908        | 1.3278 | 40   | 0.0838          |
| 0.0846        | 1.6598 | 50   | 0.0816          |
| 0.0806        | 1.9917 | 60   | 0.0802          |
| 0.0756        | 2.3237 | 70   | 0.0810          |
| 0.0751        | 2.6556 | 80   | 0.0805          |
| 0.0719        | 2.9876 | 90   | 0.0806          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1