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fine_tuned_all_domains_balanced_1.5

Text Classification
Transformers
Safetensors
qwen2
Generated from Trainer
text-generation-inference
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xet
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Arihant Tripathi commited on
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1 Parent(s): bd3d668

qwen_new_mage_all_domains_balanced_1.5

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Files changed (4) hide show
  1. README.md +10 -11
  2. evaluation_results.json +6 -6
  3. model-00001-of-00002.safetensors +1 -1
  4. model-00002-of-00002.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/Qwen1.5-1.8B](https://huggingface.co/Qwen/Qwen1.5-1.8B) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1147
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- - Accuracy: 0.9703
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  ## Model description
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@@ -50,15 +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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- | 0.1945 | 0.0860 | 500 | 0.4187 | 0.8732 |
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- | 0.171 | 0.1720 | 1000 | 0.1541 | 0.9371 |
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- | 0.1235 | 0.2580 | 1500 | 0.1469 | 0.9451 |
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- | 0.1233 | 0.3441 | 2000 | 0.1433 | 0.9532 |
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- | 0.1109 | 0.4301 | 2500 | 0.1395 | 0.9541 |
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- | 0.108 | 0.5161 | 3000 | 0.1134 | 0.9622 |
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- | 0.0864 | 0.6021 | 3500 | 0.1452 | 0.9649 |
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- | 0.0743 | 0.6881 | 4000 | 0.1336 | 0.9676 |
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- | 0.0637 | 0.7741 | 4500 | 0.1147 | 0.9703 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Qwen/Qwen1.5-1.8B](https://huggingface.co/Qwen/Qwen1.5-1.8B) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1176
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+ - Accuracy: 0.9676
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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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+ | 0.1748 | 0.0860 | 500 | 0.4614 | 0.8624 |
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+ | 0.1734 | 0.1720 | 1000 | 0.1477 | 0.9424 |
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+ | 0.1277 | 0.2580 | 1500 | 0.1875 | 0.9290 |
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+ | 0.1305 | 0.3441 | 2000 | 0.1707 | 0.9496 |
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+ | 0.1082 | 0.4301 | 2500 | 0.1075 | 0.9622 |
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+ | 0.1043 | 0.5161 | 3000 | 0.1235 | 0.9568 |
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+ | 0.083 | 0.6021 | 3500 | 0.1094 | 0.9712 |
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+ | 0.0729 | 0.6881 | 4000 | 0.1176 | 0.9676 |
 
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  ### Framework versions
evaluation_results.json CHANGED
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  {
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- "eval_loss": 0.24256853759288788,
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- "eval_accuracy": 0.9019784172661871,
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- "eval_runtime": 35.5314,
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- "eval_samples_per_second": 31.296,
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- "eval_steps_per_second": 0.985,
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- "epoch": 0.12041974883880957
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  }
 
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+ "eval_accuracy": 0.9622302158273381,
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+ "eval_runtime": 28.3039,
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+ "eval_samples_per_second": 39.288,
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+ "eval_steps_per_second": 1.237,
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+ "epoch": 0.7741269568209186
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  }
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