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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_v3_relationships](https://huggingface.co/bobbyw/deberta-v3-large_v3_relationships) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0110
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- - Accuracy: 0.0023
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- - F1: 0.0040
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- - Precision: 0.0020
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- - Recall: 0.4545
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  - Learning Rate: 0.002
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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: constant
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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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- | No log | 1.0 | 382 | 0.0109 | 0.0026 | 0.0046 | 0.0023 | 0.5152 | 0.002 |
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- | 0.0056 | 2.0 | 764 | 0.0107 | 0.0030 | 0.0040 | 0.0020 | 0.4545 | 0.002 |
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- | 0.0052 | 3.0 | 1146 | 0.0103 | 0.0028 | 0.0040 | 0.0020 | 0.4545 | 0.002 |
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- | 0.005 | 4.0 | 1528 | 0.0110 | 0.0023 | 0.0040 | 0.0020 | 0.4545 | 0.002 |
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [bobbyw/deberta-v3-large_v3_relationships](https://huggingface.co/bobbyw/deberta-v3-large_v3_relationships) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0124
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+ - Accuracy: 0.0038
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+ - F1: 0.0038
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+ - Precision: 0.0019
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+ - Recall: 0.4242
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  - Learning Rate: 0.002
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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: constant
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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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+ | No log | 1.0 | 382 | 0.0109 | 0.0027 | 0.0046 | 0.0023 | 0.5152 | 0.002 |
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+ | 0.0043 | 2.0 | 764 | 0.0106 | 0.0026 | 0.0046 | 0.0023 | 0.5152 | 0.002 |
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+ | 0.0041 | 3.0 | 1146 | 0.0115 | 0.0028 | 0.0051 | 0.0026 | 0.5758 | 0.002 |
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+ | 0.004 | 4.0 | 1528 | 0.0132 | 0.0031 | 0.0048 | 0.0024 | 0.5455 | 0.002 |
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+ | 0.004 | 5.0 | 1910 | 0.0140 | 0.0032 | 0.0046 | 0.0023 | 0.5152 | 0.002 |
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+ | 0.0043 | 6.0 | 2292 | 0.0116 | 0.0032 | 0.0046 | 0.0023 | 0.5152 | 0.002 |
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+ | 0.0044 | 7.0 | 2674 | 0.0129 | 0.0027 | 0.0043 | 0.0022 | 0.4848 | 0.002 |
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+ | 0.0038 | 8.0 | 3056 | 0.0124 | 0.0038 | 0.0038 | 0.0019 | 0.4242 | 0.002 |
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  ### Framework versions
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