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slac-single-head

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Safetensors
bert_model
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End of training

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  1. README.md +22 -22
  2. config.json +6 -1
  3. model.safetensors +2 -2
README.md CHANGED
@@ -14,13 +14,13 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4198
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- - F1 Macro: 0.0
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- - Precision Macro: 0.0
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- - Recall Macro: 0.0
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- - F1 Micro: 0.0
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- - Precision Micro: 0.0
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- - Recall Micro: 0.0
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  ## Model description
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@@ -52,21 +52,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 Macro | Precision Macro | Recall Macro | F1 Micro | Precision Micro | Recall Micro |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|:---------------:|:------------:|
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- | 0.66 | 1.0 | 2 | 0.5815 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.547 | 2.0 | 4 | 0.5486 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.5301 | 3.0 | 6 | 0.5299 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.5108 | 4.0 | 8 | 0.5097 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.488 | 5.0 | 10 | 0.4892 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.4685 | 6.0 | 12 | 0.4751 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.4426 | 7.0 | 14 | 0.4647 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.4519 | 8.0 | 16 | 0.4542 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.4134 | 9.0 | 18 | 0.4444 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.4029 | 10.0 | 20 | 0.4363 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.3892 | 11.0 | 22 | 0.4297 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.4437 | 12.0 | 24 | 0.4252 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.4007 | 13.0 | 26 | 0.4223 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.4018 | 14.0 | 28 | 0.4205 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | 0.4107 | 15.0 | 30 | 0.4198 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5583
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+ - F1 Macro: 0.2390
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+ - Precision Macro: 0.1576
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+ - Recall Macro: 0.5983
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+ - F1 Micro: 0.2661
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+ - Precision Micro: 0.1710
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+ - Recall Micro: 0.6
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 Macro | Precision Macro | Recall Macro | F1 Micro | Precision Micro | Recall Micro |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|:---------------:|:------------:|
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+ | 1.4025 | 1.0 | 2 | 1.6025 | 0.1875 | 0.1116 | 0.7115 | 0.2386 | 0.1414 | 0.7636 |
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+ | 1.082 | 2.0 | 4 | 1.5860 | 0.1866 | 0.1109 | 0.7204 | 0.2353 | 0.1391 | 0.7636 |
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+ | 1.1491 | 3.0 | 6 | 1.5860 | 0.2050 | 0.1298 | 0.7134 | 0.2363 | 0.1404 | 0.7455 |
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+ | 1.134 | 4.0 | 8 | 1.5785 | 0.2097 | 0.1311 | 0.7134 | 0.2405 | 0.1434 | 0.7455 |
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+ | 1.1738 | 5.0 | 10 | 1.5680 | 0.2450 | 0.1561 | 0.7589 | 0.2567 | 0.1536 | 0.7818 |
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+ | 1.2036 | 6.0 | 12 | 1.5670 | 0.2407 | 0.1538 | 0.7257 | 0.2611 | 0.1583 | 0.7455 |
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+ | 1.0812 | 7.0 | 14 | 1.5687 | 0.2399 | 0.1537 | 0.7065 | 0.2614 | 0.1594 | 0.7273 |
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+ | 1.2164 | 8.0 | 16 | 1.5680 | 0.2403 | 0.1551 | 0.6769 | 0.2648 | 0.1638 | 0.6909 |
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+ | 1.0811 | 9.0 | 18 | 1.5678 | 0.2085 | 0.1359 | 0.5807 | 0.2357 | 0.1467 | 0.6 |
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+ | 0.999 | 10.0 | 20 | 1.5698 | 0.2155 | 0.1397 | 0.5895 | 0.2444 | 0.1535 | 0.6 |
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+ | 1.071 | 11.0 | 22 | 1.5737 | 0.2212 | 0.1450 | 0.5807 | 0.2578 | 0.1642 | 0.6 |
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+ | 1.2738 | 12.0 | 24 | 1.5721 | 0.2291 | 0.1501 | 0.5911 | 0.2688 | 0.1717 | 0.6182 |
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+ | 0.9731 | 13.0 | 26 | 1.5666 | 0.2339 | 0.1541 | 0.5895 | 0.2672 | 0.1719 | 0.6 |
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+ | 1.072 | 14.0 | 28 | 1.5598 | 0.2405 | 0.1591 | 0.5983 | 0.2672 | 0.1719 | 0.6 |
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+ | 1.0495 | 15.0 | 30 | 1.5583 | 0.2390 | 0.1576 | 0.5983 | 0.2661 | 0.1710 | 0.6 |
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  ### Framework versions
config.json CHANGED
@@ -4,7 +4,12 @@
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  ],
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  "model_type": "bert_model",
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  "num_classes": 4,
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- "pos_weight": null,
 
 
 
 
 
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  "torch_dtype": "float32",
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  "transformers_version": "4.47.0"
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  }
 
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  ],
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  "model_type": "bert_model",
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  "num_classes": 4,
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+ "pos_weight": [
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+ 24.0,
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+ 15.666666666666666,
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+ 4.555555555555555,
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+ 6.142857142857143
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+ ],
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  "torch_dtype": "float32",
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  "transformers_version": "4.47.0"
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  }
model.safetensors CHANGED
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