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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_72_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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# sa_bert_12_layer_modified_complete_training_72_v2
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This model is a fine-tuned version of [gokuls/sa_bert_12_layer_modified_complete_training_48_v2](https://huggingface.co/gokuls/sa_bert_12_layer_modified_complete_training_48_v2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8053
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- Accuracy: 0.5131
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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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| 4.0671 | 0.05 | 10000 | 3.8478 | 0.3823 |
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| 3.6213 | 0.11 | 20000 | 3.5673 | 0.4175 |
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| 3.332 | 0.16 | 30000 | 3.3043 | 0.4519 |
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| 3.2092 | 0.22 | 40000 | 3.1531 | 0.4706 |
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| 3.244 | 0.27 | 50000 | 3.0523 | 0.4832 |
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| 3.0837 | 0.33 | 60000 | 2.9714 | 0.4927 |
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| 2.9158 | 0.38 | 70000 | 2.9020 | 0.5010 |
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| 2.9578 | 0.44 | 80000 | 2.8434 | 0.5081 |
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| 3.0681 | 0.49 | 90000 | 2.8053 | 0.5131 |
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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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