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Text Classification
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Safetensors
roberta
Generated from Trainer
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  1. README.md +13 -8
  2. model.safetensors +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mental/mental-roberta-base](https://huggingface.co/mental/mental-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4470
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  - Accuracy: 0.8014
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- - F1: 0.8132
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- - Precision: 0.7903
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- - Recall: 0.8374
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  ## Model description
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@@ -52,16 +52,21 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - num_epochs: 3
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 0.6928 | 0.99 | 31 | 0.6907 | 0.5175 | 0.6814 | 0.5168 | 1.0 |
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- | 0.6801 | 1.98 | 62 | 0.6759 | 0.5217 | 0.6833 | 0.5190 | 1.0 |
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- | 0.5305 | 2.98 | 93 | 0.4470 | 0.8014 | 0.8132 | 0.7903 | 0.8374 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [mental/mental-roberta-base](https://huggingface.co/mental/mental-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7715
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  - Accuracy: 0.8014
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+ - F1: 0.8161
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+ - Precision: 0.7816
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+ - Recall: 0.8537
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 8
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.3921 | 0.99 | 31 | 0.4379 | 0.8042 | 0.8153 | 0.7943 | 0.8374 |
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+ | 0.3376 | 1.98 | 62 | 0.4358 | 0.8112 | 0.8173 | 0.8162 | 0.8184 |
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+ | 0.3126 | 2.98 | 93 | 0.4642 | 0.7972 | 0.8172 | 0.7642 | 0.8780 |
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+ | 0.2838 | 4.0 | 125 | 0.4438 | 0.8196 | 0.8264 | 0.8209 | 0.8320 |
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+ | 0.2504 | 4.99 | 156 | 0.5249 | 0.7958 | 0.8161 | 0.7624 | 0.8780 |
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+ | 0.2912 | 5.98 | 187 | 0.6067 | 0.7972 | 0.8221 | 0.7511 | 0.9079 |
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+ | 0.1335 | 6.98 | 218 | 0.7014 | 0.8 | 0.8197 | 0.7665 | 0.8808 |
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+ | 0.1579 | 7.94 | 248 | 0.7715 | 0.8014 | 0.8161 | 0.7816 | 0.8537 |
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  ### Framework versions
model.safetensors CHANGED
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