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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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Arihant Tripathi commited on
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qwen_new_mage_all_domains_balanced_1.5

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Files changed (4) hide show
  1. README.md +13 -13
  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: 0.0885
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- - Accuracy: 0.9739
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  ## Model description
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@@ -50,17 +50,17 @@ 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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- | 0.1884 | 0.0860 | 500 | 0.3187 | 0.8822 |
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- | 0.1606 | 0.1720 | 1000 | 0.1563 | 0.9433 |
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- | 0.1284 | 0.2580 | 1500 | 0.1633 | 0.9460 |
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- | 0.1318 | 0.3441 | 2000 | 0.1304 | 0.9586 |
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- | 0.1028 | 0.4301 | 2500 | 0.1195 | 0.9640 |
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- | 0.1005 | 0.5161 | 3000 | 0.1192 | 0.9604 |
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- | 0.0824 | 0.6021 | 3500 | 0.1233 | 0.9595 |
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- | 0.0692 | 0.6881 | 4000 | 0.1101 | 0.9667 |
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- | 0.0714 | 0.7741 | 4500 | 0.0916 | 0.9721 |
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- | 0.0778 | 0.8601 | 5000 | 0.0834 | 0.9748 |
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- | 0.0836 | 0.9462 | 5500 | 0.0885 | 0.9739 |
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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: 0.1085
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+ - Accuracy: 0.9685
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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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+ | 0.2036 | 0.0860 | 500 | 0.3559 | 0.8714 |
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+ | 0.1583 | 0.1720 | 1000 | 0.1607 | 0.9424 |
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+ | 0.1279 | 0.2580 | 1500 | 0.1832 | 0.9308 |
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+ | 0.1337 | 0.3441 | 2000 | 0.1520 | 0.9514 |
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+ | 0.1144 | 0.4301 | 2500 | 0.1332 | 0.9559 |
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+ | 0.1061 | 0.5161 | 3000 | 0.1273 | 0.9586 |
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+ | 0.0865 | 0.6021 | 3500 | 0.1591 | 0.9514 |
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+ | 0.0739 | 0.6881 | 4000 | 0.1265 | 0.9631 |
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+ | 0.0716 | 0.7741 | 4500 | 0.1107 | 0.9640 |
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+ | 0.0773 | 0.8601 | 5000 | 0.1058 | 0.9640 |
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+ | 0.0823 | 0.9462 | 5500 | 0.1085 | 0.9685 |
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  ### Framework versions
evaluation_results.json CHANGED
@@ -1,8 +1,8 @@
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  {
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- "eval_loss": 0.10750104486942291,
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- "eval_accuracy": 0.9622302158273381,
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- "eval_runtime": 36.0253,
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- "eval_samples_per_second": 30.867,
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- "eval_steps_per_second": 0.972,
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- "epoch": 0.6881128505074833
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  }
 
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  {
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+ "eval_loss": 0.0833660215139389,
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+ "eval_accuracy": 0.9748201438848921,
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+ "eval_runtime": 35.98,
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+ "eval_samples_per_second": 30.906,
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+ "eval_steps_per_second": 0.973,
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+ "epoch": 1.0
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  }
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