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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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  1. README.md +10 -9
  2. evaluation_results.json +6 -6
  3. model-00001-of-00014.safetensors +1 -1
  4. model-00002-of-00014.safetensors +1 -1
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  16. model-00014-of-00014.safetensors +1 -1
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: 0.9140
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- - Accuracy: 0.8791
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  ## Model description
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@@ -50,13 +50,14 @@ 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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- | 0.9327 | 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
 
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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: 0.6290
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+ - Accuracy: 0.9006
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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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+ | 0.5509 | 0.0029 | 500 | 0.9119 | 0.7923 |
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+ | 0.6879 | 0.0057 | 1000 | 0.8153 | 0.8371 |
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+ | 0.9648 | 0.0086 | 1500 | 0.6872 | 0.8666 |
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+ | 0.5438 | 0.0114 | 2000 | 0.6331 | 0.8809 |
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+ | 1.0018 | 0.0143 | 2500 | 0.5661 | 0.8970 |
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+ | 0.3358 | 0.0172 | 3000 | 0.6411 | 0.8953 |
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+ | 0.3079 | 0.0200 | 3500 | 0.6068 | 0.8988 |
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+ | 0.4419 | 0.0229 | 4000 | 0.6290 | 0.9006 |
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  ### Framework versions
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