metadata

license: mit
base_model: BAAI/bge-small-zh-v1.5
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: my_awesome_model
    results: []

my_awesome_model

This model is a fine-tuned version of BAAI/bge-small-zh-v1.5 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6124
Accuracy: 0.749

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6832	0.13	500	0.6124	0.749

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2