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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: bert-base-cased-twitter_sentiment
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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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# bert-base-cased-twitter_sentiment
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6907
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- Accuracy: 0.7132
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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-06
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 10
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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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| 0.8901 | 1.0 | 1387 | 0.8592 | 0.6249 |
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| 0.8085 | 2.0 | 2774 | 0.7600 | 0.6822 |
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| 0.7336 | 3.0 | 4161 | 0.7170 | 0.6915 |
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| 0.6938 | 4.0 | 5548 | 0.7018 | 0.7016 |
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| 0.6738 | 5.0 | 6935 | 0.6926 | 0.7067 |
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| 0.6496 | 6.0 | 8322 | 0.6910 | 0.7088 |
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| 0.6599 | 7.0 | 9709 | 0.6902 | 0.7088 |
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| 0.631 | 8.0 | 11096 | 0.6910 | 0.7095 |
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| 0.6327 | 9.0 | 12483 | 0.6925 | 0.7146 |
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| 0.6305 | 10.0 | 13870 | 0.6907 | 0.7132 |
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### Framework versions
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- Transformers 4.12.5
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- Pytorch 1.10.0+cu111
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- Datasets 1.16.1
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- Tokenizers 0.10.3
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