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Training in progress, epoch 1

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  1. README.md +13 -12
  2. 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: Altruism_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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- # Altruism_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: 0.6612
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- - Accuracy: 0.6791
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- - Precision: 0.6544
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- - Recall: 0.7410
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- - F1: 0.6950
 
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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 | 0.6032 | 0.6716 | 0.6550 | 0.7070 | 0.68 |
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- | No log | 2.0 | 268 | 0.6141 | 0.6660 | 0.6192 | 0.8393 | 0.7127 |
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- | No log | 3.0 | 402 | 0.6612 | 0.6791 | 0.6544 | 0.7410 | 0.6950 |
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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: Morality_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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+ # Morality_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: 0.6646
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+ - Accuracy: 0.7332
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+ - Precision: 0.6974
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+ - Recall: 0.8428
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+ - F1: 0.7632
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+ - Auc: 0.7309
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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 | 0.5929 | 0.7127 | 0.6667 | 0.8739 | 0.7563 | 0.7093 |
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+ | No log | 2.0 | 268 | 0.5509 | 0.7407 | 0.7572 | 0.7239 | 0.7402 | 0.7410 |
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+ | No log | 3.0 | 402 | 0.6646 | 0.7332 | 0.6974 | 0.8428 | 0.7632 | 0.7309 |
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  ### Framework versions
training_args.bin CHANGED
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