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---
base_model: unsloth/qwen2-7b-bnb-4bit
library_name: peft
license: apache-2.0
tags:
- unsloth
- generated_from_trainer
model-index:
- name: Qwen2-7B_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. -->
# Qwen2-7B_pct_ortho
This model is a fine-tuned version of [unsloth/qwen2-7b-bnb-4bit](https://huggingface.co/unsloth/qwen2-7b-bnb-4bit) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1027
## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.1596 | 0.0206 | 8 | 2.0832 |
| 2.095 | 0.0412 | 16 | 2.0465 |
| 2.1302 | 0.0618 | 24 | 2.0538 |
| 2.0886 | 0.0824 | 32 | 2.0696 |
| 2.1386 | 0.1031 | 40 | 2.0840 |
| 2.141 | 0.1237 | 48 | 2.0979 |
| 2.1451 | 0.1443 | 56 | 2.0972 |
| 2.1323 | 0.1649 | 64 | 2.1059 |
| 2.152 | 0.1855 | 72 | 2.1132 |
| 2.2215 | 0.2061 | 80 | 2.1120 |
| 2.187 | 0.2267 | 88 | 2.1149 |
| 2.1712 | 0.2473 | 96 | 2.1171 |
| 2.2009 | 0.2680 | 104 | 2.1281 |
| 2.1177 | 0.2886 | 112 | 2.1351 |
| 2.1735 | 0.3092 | 120 | 2.1326 |
| 2.1785 | 0.3298 | 128 | 2.1293 |
| 2.1826 | 0.3504 | 136 | 2.1398 |
| 2.1799 | 0.3710 | 144 | 2.1419 |
| 2.1817 | 0.3916 | 152 | 2.1564 |
| 2.2199 | 0.4122 | 160 | 2.1452 |
| 2.2533 | 0.4329 | 168 | 2.1420 |
| 2.1606 | 0.4535 | 176 | 2.1434 |
| 2.1773 | 0.4741 | 184 | 2.1394 |
| 2.2177 | 0.4947 | 192 | 2.1369 |
| 2.1614 | 0.5153 | 200 | 2.1360 |
| 2.2003 | 0.5359 | 208 | 2.1389 |
| 2.2389 | 0.5565 | 216 | 2.1424 |
| 2.1515 | 0.5771 | 224 | 2.1329 |
| 2.16 | 0.5977 | 232 | 2.1388 |
| 2.1584 | 0.6184 | 240 | 2.1229 |
| 2.1446 | 0.6390 | 248 | 2.1275 |
| 2.19 | 0.6596 | 256 | 2.1256 |
| 2.1612 | 0.6802 | 264 | 2.1182 |
| 2.2218 | 0.7008 | 272 | 2.1202 |
| 2.1112 | 0.7214 | 280 | 2.1163 |
| 2.2125 | 0.7420 | 288 | 2.1118 |
| 2.1432 | 0.7626 | 296 | 2.1115 |
| 2.1537 | 0.7833 | 304 | 2.1066 |
| 2.1391 | 0.8039 | 312 | 2.1069 |
| 2.1831 | 0.8245 | 320 | 2.1115 |
| 2.1835 | 0.8451 | 328 | 2.1099 |
| 2.1461 | 0.8657 | 336 | 2.1126 |
| 2.183 | 0.8863 | 344 | 2.1060 |
| 2.1507 | 0.9069 | 352 | 2.1017 |
| 2.216 | 0.9275 | 360 | 2.1033 |
| 2.1464 | 0.9481 | 368 | 2.1032 |
| 2.1925 | 0.9688 | 376 | 2.1028 |
| 2.1514 | 0.9894 | 384 | 2.1027 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |