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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-finetuned-10Epochs64Batch
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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-finetuned-10Epochs64Batch
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6931
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- Accuracy: 0.4993
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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: 64
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- eval_batch_size: 64
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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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| 0.6962 | 1.0 | 569 | 0.6931 | 0.5094 |
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| 0.6969 | 2.0 | 1138 | 0.6931 | 0.5062 |
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| 0.6959 | 3.0 | 1707 | 0.6931 | 0.5106 |
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| 0.6959 | 4.0 | 2276 | 0.6931 | 0.4975 |
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| 0.6948 | 5.0 | 2845 | 0.6931 | 0.5109 |
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| 0.6944 | 6.0 | 3414 | 0.6931 | 0.4948 |
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| 0.695 | 7.0 | 3983 | 0.6931 | 0.5092 |
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| 0.694 | 8.0 | 4552 | 0.6931 | 0.5054 |
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| 0.6941 | 9.0 | 5121 | 0.6931 | 0.4998 |
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| 0.6944 | 10.0 | 5690 | 0.6931 | 0.4993 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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