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bif02
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classifier_roberta

Text Classification
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roberta
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bif02/pair_classifier

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  1. README.md +39 -15
  2. model.safetensors +1 -1
  3. runs/Nov02_23-19-13_1db9ed44b2cb/events.out.tfevents.1730589553.1db9ed44b2cb.15291.1 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -20,10 +20,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [FacebookAI/roberta-large-mnli](https://huggingface.co/FacebookAI/roberta-large-mnli) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6876
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- - Accuracy: 0.5608
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- - Precision: 0.0
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- - Recall: 0.0
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  ## Model description
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@@ -48,20 +48,44 @@ The following hyperparameters were used during training:
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  - seed: 0
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: polynomial
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- - num_epochs: 8
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|
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- | No log | 1.0 | 358 | 0.9513 | 0.4392 | 0.4392 | 1.0 |
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- | 0.7615 | 2.0 | 716 | 0.9091 | 0.4392 | 0.4392 | 1.0 |
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- | 0.739 | 3.0 | 1074 | 0.6890 | 0.5608 | 0.0 | 0.0 |
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- | 0.739 | 4.0 | 1432 | 0.7166 | 0.5608 | 0.0 | 0.0 |
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- | 0.732 | 5.0 | 1790 | 0.7337 | 0.5608 | 0.0 | 0.0 |
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- | 0.7227 | 6.0 | 2148 | 0.7022 | 0.4392 | 0.4392 | 1.0 |
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- | 0.7097 | 7.0 | 2506 | 0.6982 | 0.4392 | 0.4392 | 1.0 |
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- | 0.7097 | 8.0 | 2864 | 0.6876 | 0.5608 | 0.0 | 0.0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [FacebookAI/roberta-large-mnli](https://huggingface.co/FacebookAI/roberta-large-mnli) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6933
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+ - Accuracy: 0.4392
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+ - Precision: 0.4392
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+ - Recall: 1.0
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  ## Model description
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  - seed: 0
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: polynomial
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+ - num_epochs: 32
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|
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+ | No log | 1.0 | 358 | 0.8518 | 0.4392 | 0.4392 | 1.0 |
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+ | 0.7654 | 2.0 | 716 | 0.7826 | 0.4392 | 0.4392 | 1.0 |
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+ | 0.7448 | 3.0 | 1074 | 0.8327 | 0.4392 | 0.4392 | 1.0 |
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+ | 0.7448 | 4.0 | 1432 | 0.7101 | 0.5608 | 0.0 | 0.0 |
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+ | 0.7469 | 5.0 | 1790 | 0.6857 | 0.5608 | 0.0 | 0.0 |
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+ | 0.758 | 6.0 | 2148 | 0.6858 | 0.5608 | 0.0 | 0.0 |
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+ | 0.7646 | 7.0 | 2506 | 0.7054 | 0.4392 | 0.4392 | 1.0 |
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+ | 0.7646 | 8.0 | 2864 | 0.7196 | 0.4392 | 0.4392 | 1.0 |
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+ | 0.7329 | 9.0 | 3222 | 0.6947 | 0.4392 | 0.4392 | 1.0 |
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+ | 0.747 | 10.0 | 3580 | 0.7143 | 0.4392 | 0.4392 | 1.0 |
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+ | 0.747 | 11.0 | 3938 | 0.6863 | 0.5608 | 0.0 | 0.0 |
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+ | 0.7343 | 12.0 | 4296 | 0.6857 | 0.5608 | 0.0 | 0.0 |
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+ | 0.7461 | 13.0 | 4654 | 0.7057 | 0.4392 | 0.4392 | 1.0 |
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+ | 0.7279 | 14.0 | 5012 | 0.6893 | 0.5608 | 0.0 | 0.0 |
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+ | 0.7279 | 15.0 | 5370 | 0.7015 | 0.4392 | 0.4392 | 1.0 |
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+ | 0.735 | 16.0 | 5728 | 0.7138 | 0.4392 | 0.4392 | 1.0 |
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+ | 0.73 | 17.0 | 6086 | 0.7042 | 0.5608 | 0.0 | 0.0 |
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+ | 0.73 | 18.0 | 6444 | 0.7084 | 0.4392 | 0.4392 | 1.0 |
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+ | 0.7299 | 19.0 | 6802 | 0.6978 | 0.4392 | 0.4392 | 1.0 |
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+ | 0.7216 | 20.0 | 7160 | 0.6924 | 0.5608 | 0.0 | 0.0 |
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+ | 0.7246 | 21.0 | 7518 | 0.7701 | 0.4392 | 0.4392 | 1.0 |
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+ | 0.7246 | 22.0 | 7876 | 0.9114 | 0.4392 | 0.4392 | 1.0 |
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+ | 0.7183 | 23.0 | 8234 | 0.8309 | 0.4392 | 0.4392 | 1.0 |
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+ | 0.7158 | 24.0 | 8592 | 0.6875 | 0.5608 | 0.0 | 0.0 |
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+ | 0.7158 | 25.0 | 8950 | 0.6875 | 0.5608 | 0.0 | 0.0 |
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+ | 0.7112 | 26.0 | 9308 | 0.6857 | 0.5608 | 0.0 | 0.0 |
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+ | 0.7097 | 27.0 | 9666 | 0.6913 | 0.5608 | 0.0 | 0.0 |
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+ | 0.7076 | 28.0 | 10024 | 0.6996 | 0.4392 | 0.4392 | 1.0 |
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+ | 0.7076 | 29.0 | 10382 | 0.7932 | 0.4392 | 0.4392 | 1.0 |
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+ | 0.704 | 30.0 | 10740 | 0.6858 | 0.5608 | 0.0 | 0.0 |
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+ | 0.7007 | 31.0 | 11098 | 0.6975 | 0.4392 | 0.4392 | 1.0 |
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+ | 0.7007 | 32.0 | 11456 | 0.6933 | 0.4392 | 0.4392 | 1.0 |
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  ### Framework versions
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