Arihant Tripathi
commited on
qwen_new_mage_per_domain_balanced_32B
Browse files- README.md +6 -15
- evaluation_results.json +6 -6
- model-00001-of-00014.safetensors +1 -1
- model-00002-of-00014.safetensors +1 -1
- model-00003-of-00014.safetensors +1 -1
- model-00004-of-00014.safetensors +1 -1
- model-00005-of-00014.safetensors +1 -1
- model-00006-of-00014.safetensors +1 -1
- model-00007-of-00014.safetensors +1 -1
- model-00008-of-00014.safetensors +1 -1
- model-00009-of-00014.safetensors +1 -1
- model-00010-of-00014.safetensors +1 -1
- model-00011-of-00014.safetensors +1 -1
- model-00012-of-00014.safetensors +1 -1
- model-00013-of-00014.safetensors +1 -1
- model-00014-of-00014.safetensors +1 -1
README.md
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This model is a fine-tuned version of [Qwen/Qwen1.5-32B](https://huggingface.co/Qwen/Qwen1.5-32B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 0.7241 | 0.0143 | 2500 | 0.7357 | 0.8729 |
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| 0.6671 | 0.0172 | 3000 | 0.7220 | 0.8774 |
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| 0.5065 | 0.0200 | 3500 | 0.6383 | 0.8962 |
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| 0.6733 | 0.0229 | 4000 | 0.6732 | 0.8881 |
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| 0.7698 | 0.0258 | 4500 | 0.6499 | 0.8845 |
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| 0.7928 | 0.0286 | 5000 | 0.5749 | 0.8979 |
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| 0.5598 | 0.0315 | 5500 | 0.5941 | 0.8962 |
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| 0.3074 | 0.0343 | 6000 | 0.5806 | 0.9015 |
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| 0.4272 | 0.0372 | 6500 | 0.5984 | 0.9033 |
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### Framework versions
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This model is a fine-tuned version of [Qwen/Qwen1.5-32B](https://huggingface.co/Qwen/Qwen1.5-32B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7662
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- Accuracy: 0.8872
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 1.2847 | 0.0029 | 500 | 0.6642 | 0.8478 |
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| 0.6806 | 0.0057 | 1000 | 0.7300 | 0.8827 |
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| 0.5189 | 0.0086 | 1500 | 0.7124 | 0.8809 |
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| 0.6228 | 0.0114 | 2000 | 0.7662 | 0.8872 |
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### Framework versions
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evaluation_results.json
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{
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"eval_loss": 0.
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"eval_accuracy": 0.
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"eval_runtime":
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"eval_samples_per_second": 3.
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"eval_steps_per_second": 3.
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"epoch": 0.
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}
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{
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"eval_loss": 0.5749334096908569,
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"eval_accuracy": 0.8979409131602507,
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"eval_runtime": 355.7357,
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"eval_samples_per_second": 3.14,
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"eval_steps_per_second": 3.14,
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"epoch": 0.037194930044920034
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}
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