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bert_with_absa
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End of training

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  1. README.md +20 -16
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,12 +16,12 @@ 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: 1.4775
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- - Accuracy: 0.5090
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- - F1 Macro: 0.5104
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- - Precision Macro: 0.5256
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- - Recall Macro: 0.5035
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- - Total Tf: [141, 136, 418, 136]
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  ## Model description
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@@ -53,16 +53,20 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro | Total Tf |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|:--------------------:|
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- | 1.1054 | 1.0 | 45 | 1.0933 | 0.4260 | 0.3340 | 0.2854 | 0.4121 | [118, 159, 395, 159] |
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- | 1.093 | 2.0 | 90 | 1.0883 | 0.4043 | 0.3453 | 0.4086 | 0.4022 | [112, 165, 389, 165] |
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- | 1.0147 | 3.0 | 135 | 1.0815 | 0.4224 | 0.3938 | 0.4036 | 0.4101 | [117, 160, 394, 160] |
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- | 0.7902 | 4.0 | 180 | 1.0939 | 0.4043 | 0.4048 | 0.4039 | 0.4194 | [112, 165, 389, 165] |
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- | 0.6868 | 5.0 | 225 | 1.0402 | 0.5235 | 0.5231 | 0.5251 | 0.5215 | [145, 132, 422, 132] |
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- | 0.4888 | 6.0 | 270 | 1.1546 | 0.5018 | 0.4950 | 0.5219 | 0.4883 | [139, 138, 416, 138] |
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- | 0.3871 | 7.0 | 315 | 1.2866 | 0.4946 | 0.4871 | 0.5166 | 0.4803 | [137, 140, 414, 140] |
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- | 0.3217 | 8.0 | 360 | 1.3147 | 0.5090 | 0.5025 | 0.5474 | 0.4943 | [141, 136, 418, 136] |
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- | 0.2213 | 9.0 | 405 | 1.4559 | 0.4729 | 0.4765 | 0.4884 | 0.4704 | [131, 146, 408, 146] |
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- | 0.2051 | 10.0 | 450 | 1.4775 | 0.5090 | 0.5104 | 0.5256 | 0.5035 | [141, 136, 418, 136] |
 
 
 
 
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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: 1.6280
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+ - Accuracy: 0.6101
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+ - F1 Macro: 0.6154
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+ - Precision Macro: 0.6342
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+ - Recall Macro: 0.6058
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+ - Total Tf: [169, 108, 446, 108]
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro | Total Tf |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|:--------------------:|
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+ | 1.1067 | 1.0 | 45 | 1.0923 | 0.3502 | 0.3182 | 0.3633 | 0.3754 | [97, 180, 374, 180] |
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+ | 0.9881 | 2.0 | 90 | 0.9964 | 0.4838 | 0.4573 | 0.5300 | 0.5209 | [134, 143, 411, 143] |
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+ | 0.7447 | 3.0 | 135 | 0.9718 | 0.5199 | 0.5251 | 0.5322 | 0.5348 | [144, 133, 421, 133] |
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+ | 0.5467 | 4.0 | 180 | 1.0018 | 0.5668 | 0.5728 | 0.5861 | 0.5789 | [157, 120, 434, 120] |
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+ | 0.4362 | 5.0 | 225 | 0.9914 | 0.5957 | 0.6046 | 0.6123 | 0.5998 | [165, 112, 442, 112] |
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+ | 0.3528 | 6.0 | 270 | 1.0323 | 0.6029 | 0.6094 | 0.6080 | 0.6109 | [167, 110, 444, 110] |
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+ | 0.252 | 7.0 | 315 | 1.1311 | 0.5848 | 0.5818 | 0.6029 | 0.5817 | [162, 115, 439, 115] |
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+ | 0.1752 | 8.0 | 360 | 1.2696 | 0.5704 | 0.5735 | 0.6007 | 0.5646 | [158, 119, 435, 119] |
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+ | 0.1508 | 9.0 | 405 | 1.2529 | 0.6137 | 0.6180 | 0.6375 | 0.6088 | [170, 107, 447, 107] |
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+ | 0.1182 | 10.0 | 450 | 1.3608 | 0.6137 | 0.6176 | 0.6465 | 0.6057 | [170, 107, 447, 107] |
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+ | 0.0846 | 11.0 | 495 | 1.4858 | 0.6173 | 0.6199 | 0.6404 | 0.6118 | [171, 106, 448, 106] |
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+ | 0.0903 | 12.0 | 540 | 1.5053 | 0.6029 | 0.6035 | 0.6273 | 0.5957 | [167, 110, 444, 110] |
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+ | 0.0695 | 13.0 | 585 | 1.6320 | 0.5812 | 0.5841 | 0.6150 | 0.5726 | [161, 116, 438, 116] |
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+ | 0.0631 | 14.0 | 630 | 1.6280 | 0.6101 | 0.6154 | 0.6342 | 0.6058 | [169, 108, 446, 108] |
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  ### Framework versions
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