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--- |
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library_name: transformers |
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license: mit |
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base_model: FacebookAI/roberta-large-mnli |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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model-index: |
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- name: classifier_roberta |
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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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# classifier_roberta |
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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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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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- Transformers 4.44.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.19.1 |
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