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---
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 |