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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_48
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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_48
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This model is a fine-tuned version of [gokuls/bert_base_24](https://huggingface.co/gokuls/bert_base_24) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.6418
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- Accuracy: 0.1663
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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: 48
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- eval_batch_size: 48
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- seed: 10
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- distributed_type: multi-GPU
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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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- lr_scheduler_warmup_steps: 10000
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- num_epochs: 5
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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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| 6.005 | 0.08 | 10000 | 5.9999 | 0.1513 |
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| 5.9845 | 0.16 | 20000 | 5.9811 | 0.1511 |
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| 5.9695 | 0.25 | 30000 | 5.9673 | 0.1518 |
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| 5.9599 | 0.33 | 40000 | 5.9513 | 0.1515 |
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| 5.9402 | 0.41 | 50000 | 5.9411 | 0.1517 |
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| 5.9291 | 0.49 | 60000 | 5.9217 | 0.1518 |
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| 5.6816 | 0.57 | 70000 | 5.6418 | 0.1663 |
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### Framework versions
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- Transformers 4.30.1
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- Pytorch 1.14.0a0+410ce96
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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