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update model card README.md
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README.md
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---
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license: apache-2.0
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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-base-bne-finetuned_personality_multi
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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-base-bne-finetuned_personality_multi
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This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3709
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- Accuracy: 0.5130
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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: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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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| 2.2576 | 1.0 | 125 | 2.2755 | 0.2340 |
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| 2.0409 | 2.0 | 250 | 2.1425 | 0.2974 |
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| 1.6358 | 3.0 | 375 | 1.8730 | 0.4403 |
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| 1.3553 | 4.0 | 500 | 1.7443 | 0.5032 |
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| 0.9201 | 5.0 | 625 | 1.7165 | 0.5055 |
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| 0.5199 | 6.0 | 750 | 1.7476 | 0.5107 |
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| 0.5588 | 7.0 | 875 | 1.7758 | 0.5153 |
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| 0.2079 | 8.0 | 1000 | 1.7964 | 0.5251 |
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| 0.2685 | 9.0 | 1125 | 1.8886 | 0.5187 |
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| 0.1261 | 10.0 | 1250 | 1.9463 | 0.5199 |
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| 0.1105 | 11.0 | 1375 | 2.0337 | 0.5222 |
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| 0.1572 | 12.0 | 1500 | 2.1206 | 0.5084 |
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| 0.0643 | 13.0 | 1625 | 2.1815 | 0.5182 |
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| 0.0174 | 14.0 | 1750 | 2.2412 | 0.5176 |
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| 0.0266 | 15.0 | 1875 | 2.2741 | 0.5112 |
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| 0.0447 | 16.0 | 2000 | 2.3089 | 0.5159 |
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| 0.02 | 17.0 | 2125 | 2.3401 | 0.5135 |
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| 0.0414 | 18.0 | 2250 | 2.3504 | 0.5159 |
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| 0.0122 | 19.0 | 2375 | 2.3661 | 0.5130 |
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| 0.0154 | 20.0 | 2500 | 2.3709 | 0.5130 |
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### Framework versions
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- Transformers 4.19.3
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- Pytorch 1.11.0+cu113
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- Datasets 2.2.2
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- Tokenizers 0.12.1
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