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ajrayman
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Openn_binary

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

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -10,22 +10,22 @@ 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: 0.6385
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- - Accuracy: 0.6924
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- - Precision: 0.7494
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- - Recall: 0.5700
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- - F1: 0.6475
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  ## Model description
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@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
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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 | 130 | 0.6370 | 0.6345 | 0.7711 | 0.3735 | 0.5033 |
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- | No log | 2.0 | 260 | 0.6299 | 0.6519 | 0.7722 | 0.4222 | 0.5459 |
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- | No log | 3.0 | 390 | 0.6385 | 0.6924 | 0.7494 | 0.5700 | 0.6475 |
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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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  ## Model description
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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 | 135 | 0.5686 | 0.7185 | 0.6742 | 0.8365 | 0.7466 |
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+ | No log | 2.0 | 270 | 0.6582 | 0.6887 | 0.7845 | 0.5132 | 0.6205 |
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+ | No log | 3.0 | 405 | 0.6696 | 0.7269 | 0.7201 | 0.7350 | 0.7274 |
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  ### Framework versions
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