---
base_model: unsloth/llama-3-8b
library_name: peft
license: llama3
tags:
- unsloth
- generated_from_trainer
model-index:
- name: Meta-Llama-3-8B_pct_ortho
  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. -->

# Meta-Llama-3-8B_pct_ortho

This model is a fine-tuned version of [unsloth/llama-3-8b](https://huggingface.co/unsloth/llama-3-8b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2219

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.2594        | 0.0206 | 8    | 2.2433          |
| 2.2616        | 0.0412 | 16   | 2.2377          |
| 2.2041        | 0.0618 | 24   | 2.2343          |
| 2.2802        | 0.0824 | 32   | 2.2533          |
| 2.2832        | 0.1030 | 40   | 2.2618          |
| 2.2484        | 0.1236 | 48   | 2.2566          |
| 2.2735        | 0.1442 | 56   | 2.2577          |
| 2.293         | 0.1648 | 64   | 2.2784          |
| 2.2518        | 0.1854 | 72   | 2.2818          |
| 2.2922        | 0.2060 | 80   | 2.2914          |
| 2.3199        | 0.2266 | 88   | 2.2720          |
| 2.3807        | 0.2472 | 96   | 2.2788          |
| 2.3528        | 0.2678 | 104  | 2.2831          |
| 2.3144        | 0.2884 | 112  | 2.2958          |
| 2.3652        | 0.3090 | 120  | 2.2950          |
| 2.3637        | 0.3296 | 128  | 2.2845          |
| 2.3014        | 0.3502 | 136  | 2.2781          |
| 2.3067        | 0.3708 | 144  | 2.2830          |
| 2.3242        | 0.3914 | 152  | 2.2788          |
| 2.3184        | 0.4120 | 160  | 2.2659          |
| 2.3574        | 0.4326 | 168  | 2.2782          |
| 2.3006        | 0.4532 | 176  | 2.2733          |
| 2.3082        | 0.4738 | 184  | 2.2699          |
| 2.3097        | 0.4944 | 192  | 2.2615          |
| 2.3003        | 0.5150 | 200  | 2.2649          |
| 2.3027        | 0.5356 | 208  | 2.2594          |
| 2.3262        | 0.5562 | 216  | 2.2491          |
| 2.3118        | 0.5768 | 224  | 2.2599          |
| 2.2904        | 0.5974 | 232  | 2.2623          |
| 2.2519        | 0.6180 | 240  | 2.2495          |
| 2.2907        | 0.6386 | 248  | 2.2526          |
| 2.2864        | 0.6592 | 256  | 2.2512          |
| 2.242         | 0.6798 | 264  | 2.2492          |
| 2.2941        | 0.7004 | 272  | 2.2415          |
| 2.2799        | 0.7210 | 280  | 2.2383          |
| 2.2881        | 0.7416 | 288  | 2.2358          |
| 2.2797        | 0.7621 | 296  | 2.2381          |
| 2.3197        | 0.7827 | 304  | 2.2255          |
| 2.2507        | 0.8033 | 312  | 2.2284          |
| 2.236         | 0.8239 | 320  | 2.2313          |
| 2.2667        | 0.8445 | 328  | 2.2200          |
| 2.2763        | 0.8651 | 336  | 2.2255          |
| 2.2915        | 0.8857 | 344  | 2.2229          |
| 2.2554        | 0.9063 | 352  | 2.2211          |
| 2.2237        | 0.9269 | 360  | 2.2241          |
| 2.2446        | 0.9475 | 368  | 2.2229          |
| 2.2926        | 0.9681 | 376  | 2.2224          |
| 2.2813        | 0.9887 | 384  | 2.2219          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1