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ajrayman
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Neuro_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 +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: Neuro_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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- # Neuro_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: 0.5902
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- - Accuracy: 0.7358
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- - Precision: 0.7767
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- - Recall: 0.7030
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- - F1: 0.7380
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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 | 135 | 0.5537 | 0.7247 | 0.7349 | 0.7504 | 0.7426 |
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- | No log | 2.0 | 270 | 0.5325 | 0.7312 | 0.8070 | 0.6467 | 0.7180 |
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- | No log | 3.0 | 405 | 0.5902 | 0.7358 | 0.7767 | 0.7030 | 0.7380 |
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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: 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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  | 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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