End of training
Browse files- README.md +109 -0
- adapter_model.safetensors +1 -1
README.md
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---
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base_model: unsloth/qwen2-7b-bnb-4bit
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library_name: peft
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license: apache-2.0
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tags:
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- unsloth
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- generated_from_trainer
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model-index:
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- name: Qwen2-7B_metamath_default
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Qwen2-7B_metamath_default
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.1552
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.02
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.2406 | 0.0211 | 13 | 0.1655 |
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| 0.1558 | 0.0421 | 26 | 0.1578 |
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| 0.1536 | 0.0632 | 39 | 0.1560 |
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| 0.1467 | 0.0842 | 52 | 0.1547 |
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| 0.1457 | 0.1053 | 65 | 0.1551 |
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| 0.15 | 0.1264 | 78 | 0.1552 |
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| 0.1547 | 0.1474 | 91 | 0.1548 |
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| 0.1494 | 0.1685 | 104 | 0.1559 |
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| 0.1543 | 0.1896 | 117 | 0.1563 |
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| 0.1511 | 0.2106 | 130 | 0.1563 |
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| 0.1545 | 0.2317 | 143 | 0.1567 |
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| 0.148 | 0.2527 | 156 | 0.1576 |
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| 0.1559 | 0.2738 | 169 | 0.1584 |
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| 0.1497 | 0.2949 | 182 | 0.1579 |
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| 0.1577 | 0.3159 | 195 | 0.1582 |
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| 0.1505 | 0.3370 | 208 | 0.1585 |
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| 0.152 | 0.3580 | 221 | 0.1583 |
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| 0.1498 | 0.3791 | 234 | 0.1586 |
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| 0.1522 | 0.4002 | 247 | 0.1581 |
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| 0.1536 | 0.4212 | 260 | 0.1574 |
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| 0.1614 | 0.4423 | 273 | 0.1583 |
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| 0.1555 | 0.4633 | 286 | 0.1580 |
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| 0.1605 | 0.4844 | 299 | 0.1573 |
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| 0.1497 | 0.5055 | 312 | 0.1580 |
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| 0.1477 | 0.5265 | 325 | 0.1579 |
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| 0.1497 | 0.5476 | 338 | 0.1570 |
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| 0.1539 | 0.5687 | 351 | 0.1573 |
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| 0.1573 | 0.5897 | 364 | 0.1576 |
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| 0.1535 | 0.6108 | 377 | 0.1570 |
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| 0.146 | 0.6318 | 390 | 0.1562 |
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| 0.1546 | 0.6529 | 403 | 0.1564 |
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| 0.1554 | 0.6740 | 416 | 0.1564 |
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| 0.1521 | 0.6950 | 429 | 0.1565 |
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| 0.1557 | 0.7161 | 442 | 0.1557 |
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| 0.1469 | 0.7371 | 455 | 0.1554 |
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| 0.1513 | 0.7582 | 468 | 0.1558 |
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| 0.153 | 0.7793 | 481 | 0.1557 |
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| 0.1518 | 0.8003 | 494 | 0.1555 |
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| 0.1482 | 0.8214 | 507 | 0.1554 |
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| 0.1514 | 0.8424 | 520 | 0.1554 |
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| 0.1533 | 0.8635 | 533 | 0.1553 |
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| 0.1521 | 0.8846 | 546 | 0.1554 |
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| 0.148 | 0.9056 | 559 | 0.1553 |
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| 0.1473 | 0.9267 | 572 | 0.1553 |
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| 0.1482 | 0.9478 | 585 | 0.1552 |
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| 0.1498 | 0.9688 | 598 | 0.1553 |
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| 0.155 | 0.9899 | 611 | 0.1552 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.4.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 2 |
-
oid sha256:
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| 3 |
size 80792096
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| 1 |
version https://git-lfs.github.com/spec/v1
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oid sha256:7b52a4c1da77c7e0b78845b9e6ac389264bee61364370ac479b6156cc5e9f09f
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size 80792096
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