Arihant Tripathi
commited on
qwen_new_mage_per_domain_balanced_32B
Browse files- README.md +21 -2
- evaluation_results.json +8 -0
- 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
- training_args.bin +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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- lr_scheduler_type: linear
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- num_epochs: 1
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### Framework versions
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- Transformers 4.49.0
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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: 0.7888
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- Accuracy: 0.8908
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 1.8972 | 0.0029 | 500 | 1.5903 | 0.7475 |
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| 2.0489 | 0.0057 | 1000 | 1.1390 | 0.8111 |
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| 1.2974 | 0.0086 | 1500 | 1.2533 | 0.8057 |
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| 1.3929 | 0.0114 | 2000 | 1.3143 | 0.8156 |
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| 0.5961 | 0.0143 | 2500 | 1.0441 | 0.8451 |
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| 0.4478 | 0.0172 | 3000 | 1.0491 | 0.8496 |
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| 1.3262 | 0.0200 | 3500 | 1.0400 | 0.8478 |
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| 0.9755 | 0.0229 | 4000 | 0.9457 | 0.8621 |
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| 0.7849 | 0.0258 | 4500 | 0.8249 | 0.8684 |
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| 0.7091 | 0.0286 | 5000 | 0.7580 | 0.8836 |
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| 0.527 | 0.0315 | 5500 | 0.8654 | 0.8756 |
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| 0.8061 | 0.0343 | 6000 | 0.8890 | 0.8782 |
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| 0.1774 | 0.0372 | 6500 | 0.7888 | 0.8908 |
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### Framework versions
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- Transformers 4.49.0
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evaluation_results.json
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{
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"eval_loss": 0.69140625,
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"eval_accuracy": 0.2820053715308863,
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"eval_runtime": 352.4242,
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"eval_samples_per_second": 3.169,
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"eval_steps_per_second": 3.169,
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"epoch": 0.014305742324969242
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}
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