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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_96
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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_96
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This model is a fine-tuned version of [gokuls/bert_base_48](https://huggingface.co/gokuls/bert_base_48) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6333
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- Accuracy: 0.5281
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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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| 5.6041 | 0.08 | 10000 | 5.5567 | 0.1751 |
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| 5.4727 | 0.16 | 20000 | 5.3950 | 0.1953 |
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| 5.3385 | 0.25 | 30000 | 5.2277 | 0.2151 |
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| 5.2033 | 0.33 | 40000 | 5.0607 | 0.2335 |
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| 4.7807 | 0.41 | 50000 | 4.5611 | 0.2910 |
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| 4.1994 | 0.49 | 60000 | 4.0039 | 0.3520 |
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| 3.8039 | 0.57 | 70000 | 3.6509 | 0.3906 |
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| 3.5516 | 0.66 | 80000 | 3.3794 | 0.4263 |
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| 3.3199 | 0.74 | 90000 | 3.1446 | 0.4607 |
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| 3.1682 | 0.82 | 100000 | 3.0053 | 0.4795 |
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| 3.0597 | 0.9 | 110000 | 2.9135 | 0.4919 |
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| 2.9814 | 0.98 | 120000 | 2.8331 | 0.5018 |
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| 2.907 | 1.07 | 130000 | 2.7724 | 0.5100 |
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| 2.8532 | 1.15 | 140000 | 2.7200 | 0.5170 |
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| 2.8044 | 1.23 | 150000 | 2.6759 | 0.5227 |
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| 2.7694 | 1.31 | 160000 | 2.6333 | 0.5281 |
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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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