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README.md
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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: sa_bert_12_layer_modified_complete_training_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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# sa_bert_12_layer_modified_complete_training_24
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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: 5.7648
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- Accuracy: 0.1722
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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: 32
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- eval_batch_size: 32
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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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| 6.5933 | 0.05 | 10000 | 6.5711 | 0.1226 |
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| 6.1523 | 0.11 | 20000 | 6.3425 | 0.1396 |
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| 6.1308 | 0.16 | 30000 | 6.2468 | 0.1444 |
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| 6.2297 | 0.22 | 40000 | 6.1895 | 0.1468 |
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| 6.1484 | 0.27 | 50000 | 6.1483 | 0.1487 |
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| 6.0591 | 0.33 | 60000 | 6.1205 | 0.1492 |
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| 6.0199 | 0.38 | 70000 | 6.0862 | 0.1501 |
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| 5.8666 | 0.44 | 80000 | 5.8875 | 0.1600 |
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| 5.9153 | 0.49 | 90000 | 5.7648 | 0.1722 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 1.14.0a0+410ce96
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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