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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_uncased_L-2_H-128_A-2-mlm-multi-emails-hq
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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_uncased_L-2_H-128_A-2-mlm-multi-emails-hq
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This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0981
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- Accuracy: 0.4728
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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: 0.0003
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- train_batch_size: 8
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 8.0
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- mixed_precision_training: Native AMP
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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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| 3.8974 | 0.99 | 141 | 3.5129 | 0.4218 |
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| 3.7009 | 1.99 | 282 | 3.3295 | 0.4452 |
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| 3.5845 | 2.99 | 423 | 3.2219 | 0.4589 |
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| 3.4976 | 3.99 | 564 | 3.1618 | 0.4666 |
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| 3.4356 | 4.99 | 705 | 3.1002 | 0.4739 |
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| 3.4493 | 5.99 | 846 | 3.1028 | 0.4746 |
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| 3.4199 | 6.99 | 987 | 3.0857 | 0.4766 |
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| 3.4086 | 7.99 | 1128 | 3.0981 | 0.4728 |
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### Framework versions
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- Transformers 4.27.0.dev0
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- Pytorch 2.0.0.dev20230129+cu118
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- Datasets 2.8.0
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- Tokenizers 0.13.1
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