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---
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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_12_layer_model_v2
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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_12_layer_model_v2
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1091
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- Accuracy: 0.5983
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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: 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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- 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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| 5.4137 | 1.0 | 45772 | 3.1519 | 0.4605 |
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| 2.7951 | 2.0 | 91544 | 2.4478 | 0.5519 |
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| 2.4298 | 3.0 | 137316 | 2.2522 | 0.5784 |
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| 2.2864 | 4.0 | 183088 | 2.1548 | 0.5920 |
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| 2.2142 | 5.0 | 228860 | 2.1091 | 0.5983 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.14.0a0+410ce96
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- Datasets 2.10.0
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- Tokenizers 0.13.2
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