best_model

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

• Loss: 0.2144
• Accuracy: 1.0

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	14	1.5615	0.7826
No log	2.0	28	1.2408	0.8913
No log	3.0	42	0.9712	0.9130
No log	4.0	56	0.7769	0.9783
No log	5.0	70	0.6251	1.0
No log	6.0	84	0.5102	1.0
No log	7.0	98	0.4342	1.0
No log	8.0	112	0.3669	1.0
No log	9.0	126	0.3205	1.0
No log	10.0	140	0.2853	1.0
No log	11.0	154	0.2599	1.0
No log	12.0	168	0.2426	1.0
No log	13.0	182	0.2309	1.0
No log	14.0	196	0.2245	1.0
No log	15.0	210	0.2224	1.0

Framework versions

• Transformers 4.36.2
• Pytorch 2.0.1+cu117
• Tokenizers 0.15.0