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fine_tuned_per_domain_balanced_32B

Text Classification
Transformers
Safetensors
qwen2
Generated from Trainer
text-embeddings-inference
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Arihant Tripathi commited on
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qwen_new_mage_per_domain_balanced_32B

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Files changed (16) hide show
  1. README.md +9 -15
  2. evaluation_results.json +5 -5
  3. model-00001-of-00014.safetensors +1 -1
  4. model-00002-of-00014.safetensors +1 -1
  5. model-00003-of-00014.safetensors +1 -1
  6. model-00004-of-00014.safetensors +1 -1
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  8. model-00006-of-00014.safetensors +1 -1
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README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.5444
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- - Accuracy: 0.9033
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  ## Model description
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@@ -50,19 +50,13 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 0.8741 | 0.0029 | 500 | 0.9781 | 0.7780 |
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- | 0.8585 | 0.0057 | 1000 | 0.8674 | 0.8389 |
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- | 1.0133 | 0.0086 | 1500 | 0.9428 | 0.8263 |
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- | 1.0197 | 0.0114 | 2000 | 0.7949 | 0.8532 |
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- | 0.4964 | 0.0143 | 2500 | 0.8058 | 0.8585 |
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- | 0.507 | 0.0172 | 3000 | 0.6268 | 0.8756 |
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- | 1.2342 | 0.0200 | 3500 | 0.6786 | 0.8711 |
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- | 0.8958 | 0.0229 | 4000 | 0.6737 | 0.8782 |
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- | 0.5373 | 0.0258 | 4500 | 0.5536 | 0.8926 |
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- | 0.3688 | 0.0286 | 5000 | 0.5243 | 0.8988 |
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- | 0.2458 | 0.0315 | 5500 | 0.5292 | 0.8997 |
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- | 0.5241 | 0.0343 | 6000 | 0.5510 | 0.9024 |
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- | 0.1869 | 0.0372 | 6500 | 0.5444 | 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: 0.9140
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+ - Accuracy: 0.8791
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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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+ | 0.9327 | 0.0029 | 500 | 1.0921 | 0.8102 |
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+ | 0.4397 | 0.0057 | 1000 | 1.0897 | 0.8478 |
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+ | 0.4321 | 0.0086 | 1500 | 0.9432 | 0.8568 |
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+ | 0.562 | 0.0114 | 2000 | 0.8378 | 0.8747 |
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+ | 0.5804 | 0.0143 | 2500 | 0.9042 | 0.8729 |
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+ | 0.5734 | 0.0172 | 3000 | 0.8686 | 0.8765 |
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+ | 0.5453 | 0.0200 | 3500 | 0.9140 | 0.8791 |
 
 
 
 
 
 
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  ### Framework versions
evaluation_results.json CHANGED
@@ -1,8 +1,8 @@
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  "epoch": 0.037194930044920034
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