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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: fine_tuned_bert_dreadit
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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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# fine_tuned_bert_dreadit
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6964
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- Accuracy: 0.7584
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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: 2e-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: 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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| 0.0515 | 1.0 | 178 | 1.0425 | 0.7388 |
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| 0.0988 | 2.0 | 356 | 1.1394 | 0.7725 |
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| 0.0008 | 3.0 | 534 | 1.3705 | 0.7725 |
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| 0.4585 | 4.0 | 712 | 1.2983 | 0.7809 |
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| 0.0003 | 5.0 | 890 | 1.4867 | 0.7753 |
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| 0.0003 | 6.0 | 1068 | 1.5385 | 0.7837 |
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| 0.0002 | 7.0 | 1246 | 1.4708 | 0.7781 |
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| 0.0002 | 8.0 | 1424 | 1.6836 | 0.7640 |
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| 0.0002 | 9.0 | 1602 | 1.7276 | 0.7584 |
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| 0.0002 | 10.0 | 1780 | 1.6964 | 0.7584 |
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### Framework versions
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- Transformers 4.27.3
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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