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# opus-em-bge-base

This model is a fine-tuned version of [BAAI/bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0054
- F1: 0.9995

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "BAAI/bge-base-en-v1.5", "model-index": [{"name": "opus-em-bge-base", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:BAAI/bge-base-en-v1.5 license:mit autotrain_compatible endpoints_compatible region:us