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End of training

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README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bobbyw/deberta-v3-large_faster_learning_v2](https://huggingface.co/bobbyw/deberta-v3-large_faster_learning_v2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0792
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- - Accuracy: 0.0179
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- - F1: 0.0313
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- - Precision: 0.016
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- - Recall: 0.7273
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  - Learning Rate: 0.0
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  ## Model description
@@ -50,16 +50,20 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Rate |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
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- | 0.0852 | 1.0 | 689 | 0.0822 | 0.0179 | 0.0313 | 0.016 | 0.7273 | 0.0015 |
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- | 0.0827 | 2.0 | 1378 | 0.0848 | 0.0188 | 0.0313 | 0.0160 | 0.7273 | 0.001 |
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- | 0.0778 | 3.0 | 2067 | 0.0798 | 0.0188 | 0.0313 | 0.0160 | 0.7273 | 0.0005 |
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- | 0.0707 | 4.0 | 2756 | 0.0792 | 0.0179 | 0.0313 | 0.016 | 0.7273 | 0.0 |
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [bobbyw/deberta-v3-large_faster_learning_v2](https://huggingface.co/bobbyw/deberta-v3-large_faster_learning_v2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0915
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+ - Accuracy: 0.0248
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+ - F1: 0.0277
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+ - Precision: 0.0142
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+ - Recall: 0.6364
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  - Learning Rate: 0.0
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  ## Model description
 
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 8
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Rate |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
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+ | 0.0652 | 1.0 | 689 | 0.0845 | 0.0198 | 0.0314 | 0.0160 | 0.7273 | 0.0018 |
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+ | 0.0644 | 2.0 | 1378 | 0.0888 | 0.0228 | 0.0296 | 0.0151 | 0.6818 | 0.0015 |
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+ | 0.0582 | 3.0 | 2067 | 0.0920 | 0.0238 | 0.0315 | 0.0161 | 0.7273 | 0.0012 |
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+ | 0.0536 | 4.0 | 2756 | 0.0849 | 0.0248 | 0.0277 | 0.0142 | 0.6364 | 0.001 |
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+ | 0.0559 | 5.0 | 3445 | 0.1012 | 0.0308 | 0.0298 | 0.0152 | 0.6818 | 0.0008 |
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+ | 0.0466 | 6.0 | 4134 | 0.0948 | 0.0268 | 0.0316 | 0.0161 | 0.7273 | 0.0005 |
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+ | 0.0436 | 7.0 | 4823 | 0.0957 | 0.0278 | 0.0297 | 0.0152 | 0.6818 | 0.0003 |
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+ | 0.0447 | 8.0 | 5512 | 0.0915 | 0.0248 | 0.0277 | 0.0142 | 0.6364 | 0.0 |
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  ### Framework versions
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