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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_model_complete_training_new
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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_model_complete_training_new
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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: 7.4351
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- Accuracy: 0.0442
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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: 0.001
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:------:|:---------------:|:--------:|
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| 7.2755 | 0.11 | 10000 | 7.2838 | 0.0466 |
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| 7.2773 | 0.22 | 20000 | 7.2702 | 0.0466 |
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| 7.2658 | 0.33 | 30000 | 7.2628 | 0.0481 |
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| 7.2999 | 0.44 | 40000 | 7.3364 | 0.0469 |
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| 7.3 | 0.55 | 50000 | 7.3381 | 0.0470 |
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| 7.342 | 0.66 | 60000 | 7.3410 | 0.0477 |
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| 7.3392 | 0.76 | 70000 | 7.3417 | 0.0477 |
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| 7.3357 | 0.87 | 80000 | 7.3412 | 0.0476 |
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| 7.3331 | 0.98 | 90000 | 7.4346 | 0.0442 |
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| 7.3351 | 1.09 | 100000 | 7.4346 | 0.0443 |
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| 7.3352 | 1.2 | 110000 | 7.4352 | 0.0442 |
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| 7.3306 | 1.31 | 120000 | 7.4347 | 0.0442 |
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| 7.3281 | 1.42 | 130000 | 7.4351 | 0.0442 |
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### Framework versions
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- Transformers 4.29.2
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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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