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# finetune_req

This model is a fine-tuned version of [deprem-ml/deprem_bert_128k](https://huggingface.co/deprem-ml/deprem_bert_128k) on a private dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1891
- Accuracy: 0.875


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "finetune_req", "results": []}]}
transformers pytorch tensorboard bert text-classification generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 




# finetune_req

This model is a fine-tuned version of deprem-ml/deprem_bert_128k on a private dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1891
- Accuracy: 0.875


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

# finetune_req

This model is a fine-tuned version of deprem-ml/deprem_bert_128k on a private dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1891
- Accuracy: 0.875 ### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 # finetune_req

This model is a fine-tuned version of deprem-ml/deprem_bert_128k on a private dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1891
- Accuracy: 0.875 ### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3