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Depression_binary

Text Classification
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roberta
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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: Depression_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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- # Depression_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: 0.5524
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- - Accuracy: 0.7613
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- - Precision: 0.7254
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- - Recall: 0.7076
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- - F1: 0.7164
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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 | 144 | 0.5393 | 0.7509 | 0.7636 | 0.6012 | 0.6728 |
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- | No log | 2.0 | 288 | 0.5035 | 0.7544 | 0.7820 | 0.5869 | 0.6706 |
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- | No log | 3.0 | 432 | 0.5524 | 0.7613 | 0.7254 | 0.7076 | 0.7164 |
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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: Anger_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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+ # Anger_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: 0.7098
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+ - Accuracy: 0.6474
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+ - Precision: 0.6685
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+ - Recall: 0.6398
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+ - F1: 0.6538
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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 | 0.6285 | 0.6399 | 0.6458 | 0.6828 | 0.6638 |
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+ | No log | 2.0 | 268 | 0.6353 | 0.6586 | 0.6798 | 0.6505 | 0.6648 |
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+ | No log | 3.0 | 402 | 0.7098 | 0.6474 | 0.6685 | 0.6398 | 0.6538 |
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  ### Framework versions
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