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Agree_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 +13 -12
  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: Agree_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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- # Agree_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: 0.5758
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- - Accuracy: 0.7577
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- - Precision: 0.7504
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- - Recall: 0.7887
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- - F1: 0.7691
 
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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 | 0.4915 | 0.7689 | 0.7911 | 0.7450 | 0.7674 |
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- | No log | 2.0 | 268 | 0.4766 | 0.7698 | 0.7586 | 0.8069 | 0.7820 |
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- | No log | 3.0 | 402 | 0.5758 | 0.7577 | 0.7504 | 0.7887 | 0.7691 |
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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: Extra_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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+ # Extra_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: 0.6522
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+ - Accuracy: 0.6962
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+ - Precision: 0.6852
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+ - Recall: 0.6879
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+ - F1: 0.6865
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+ - Auc: 0.6959
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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 | 134 | 0.6402 | 0.6533 | 0.6073 | 0.8015 | 0.6910 | 0.6580 |
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+ | No log | 2.0 | 268 | 0.6021 | 0.6729 | 0.6377 | 0.7495 | 0.6891 | 0.6753 |
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+ | No log | 3.0 | 402 | 0.6522 | 0.6962 | 0.6852 | 0.6879 | 0.6865 | 0.6959 |
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  ### Framework versions
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