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ajrayman
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Openn_binary

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
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Training in progress, epoch 1

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  1. README.md +12 -11
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -10,22 +10,23 @@ metrics:
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  - recall
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  - f1
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  model-index:
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- - name: Openn_binary
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # Openn_binary
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  This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6757
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- - Accuracy: 0.6729
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  - Precision: 0.7201
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- - Recall: 0.6050
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- - F1: 0.6576
 
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  ## Model description
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@@ -54,11 +55,11 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | No log | 1.0 | 134 | 0.6469 | 0.6440 | 0.6476 | 0.6894 | 0.6678 |
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- | No log | 2.0 | 268 | 0.6340 | 0.6598 | 0.7667 | 0.4955 | 0.6020 |
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- | No log | 3.0 | 402 | 0.6757 | 0.6729 | 0.7201 | 0.6050 | 0.6576 |
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  ### Framework versions
 
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  - recall
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  - f1
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  model-index:
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+ - name: auth_scale_binary
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # auth_scale_binary
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  This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6696
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+ - Accuracy: 0.7269
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  - Precision: 0.7201
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+ - Recall: 0.7350
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+ - F1: 0.7274
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+ - Auc: 0.7270
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Auc |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
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+ | No log | 1.0 | 135 | 0.5686 | 0.7185 | 0.6742 | 0.8365 | 0.7466 | 0.7195 |
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+ | No log | 2.0 | 270 | 0.6582 | 0.6887 | 0.7845 | 0.5132 | 0.6205 | 0.6873 |
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+ | No log | 3.0 | 405 | 0.6696 | 0.7269 | 0.7201 | 0.7350 | 0.7274 | 0.7270 |
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  ### Framework versions
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