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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_24
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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_24
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.0090
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- Accuracy: 0.1512
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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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| 6.4917 | 0.08 | 10000 | 6.4422 | 0.1406 |
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| 6.2848 | 0.16 | 20000 | 6.2644 | 0.1478 |
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| 6.1988 | 0.25 | 30000 | 6.1852 | 0.1493 |
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| 6.148 | 0.33 | 40000 | 6.1287 | 0.1501 |
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| 6.1007 | 0.41 | 50000 | 6.0888 | 0.1501 |
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| 6.0721 | 0.49 | 60000 | 6.0555 | 0.1499 |
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| 6.0414 | 0.57 | 70000 | 6.0274 | 0.1514 |
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| 6.0229 | 0.66 | 80000 | 6.0090 | 0.1512 |
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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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