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Emotionality_binary

Text Classification
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Safetensors
roberta
Generated from Trainer
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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: Emotionality_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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- # Emotionality_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: 0.6728
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- - Accuracy: 0.6474
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- - Precision: 0.6718
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- - Recall: 0.6234
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- - F1: 0.6467
 
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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 | 0.6484 | 0.625 | 0.6055 | 0.7910 | 0.6859 |
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- | No log | 2.0 | 268 | 0.6215 | 0.6511 | 0.6881 | 0.5964 | 0.6390 |
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- | No log | 3.0 | 402 | 0.6728 | 0.6474 | 0.6718 | 0.6234 | 0.6467 |
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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: Artistic_Interests_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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+ # Artistic_Interests_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: 0.6671
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+ - Accuracy: 0.6297
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+ - Precision: 0.6201
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+ - Recall: 0.6516
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+ - F1: 0.6354
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+ - Auc: 0.6299
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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 | 0.6475 | 0.6306 | 0.6321 | 0.6083 | 0.6200 | 0.6304 |
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+ | No log | 2.0 | 268 | 0.6681 | 0.6213 | 0.5960 | 0.7307 | 0.6565 | 0.6223 |
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+ | No log | 3.0 | 402 | 0.6671 | 0.6297 | 0.6201 | 0.6516 | 0.6354 | 0.6299 |
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  ### Framework versions
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  version https://git-lfs.github.com/spec/v1
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