---
license: mit
datasets:
- agentlans/prompt-difficulty
language:
- en
base_model:
- BAAI/bge-small-en-v1.5
---

# bge-small-en-v1.5-prompt-difficulty

This model is a fine-tuned version of [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3960
- Mse: 1.3960
- Num Input Tokens Seen: 51075840

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results



### Framework versions

- Transformers 5.0.0.dev0
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1