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--- |
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license: mit |
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base_model: FacebookAI/roberta-large |
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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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model-index: |
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- name: roberta-large |
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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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# roberta-large |
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This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5329 |
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- Accuracy: 0.9121 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 256 |
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- seed: 42 |
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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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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| No log | 1.0 | 782 | 0.2406 | 0.8990 | |
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| 0.3075 | 2.0 | 1564 | 0.2539 | 0.8962 | |
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| 0.2171 | 3.0 | 2346 | 0.2650 | 0.9031 | |
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| 0.1697 | 4.0 | 3128 | 0.3427 | 0.8973 | |
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| 0.1697 | 5.0 | 3910 | 0.3241 | 0.9031 | |
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| 0.1339 | 6.0 | 4692 | 0.4141 | 0.9049 | |
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| 0.1038 | 7.0 | 5474 | 0.4572 | 0.8946 | |
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| 0.0922 | 8.0 | 6256 | 0.4154 | 0.9054 | |
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| 0.0676 | 9.0 | 7038 | 0.5020 | 0.8982 | |
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| 0.0676 | 10.0 | 7820 | 0.5070 | 0.9071 | |
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| 0.0568 | 11.0 | 8602 | 0.4826 | 0.9067 | |
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| 0.0443 | 12.0 | 9384 | 0.5104 | 0.9086 | |
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| 0.0313 | 13.0 | 10166 | 0.5456 | 0.9088 | |
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| 0.0313 | 14.0 | 10948 | 0.4740 | 0.9078 | |
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| 0.0245 | 15.0 | 11730 | 0.4977 | 0.9071 | |
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| 0.0227 | 16.0 | 12512 | 0.5136 | 0.9098 | |
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| 0.0175 | 17.0 | 13294 | 0.5131 | 0.9108 | |
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| 0.0173 | 18.0 | 14076 | 0.5370 | 0.9109 | |
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| 0.0173 | 19.0 | 14858 | 0.5344 | 0.9126 | |
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| 0.0152 | 20.0 | 15640 | 0.5329 | 0.9121 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.15.2 |
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