checkpoint

This model is a fine-tuned version of Snowflake/snowflake-arctic-embed-m on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5317
• Precision: 0.5314
• Recall: 0.5054
• F1 Macro: 0.5181
• Accuracy: 0.6864

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: 0.0003
• train_batch_size: 256
• eval_batch_size: 128
• seed: 0
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1 Macro	Accuracy
No log	0	0	0.7000	0.2932	0.4441	0.3532	0.4576
0.505	14.4928	1000	0.5384	0.5276	0.4395	0.4795	0.6818
0.4972	28.9855	2000	0.5333	0.5261	0.4319	0.4743	0.6808
0.4861	43.4783	3000	0.5317	0.5314	0.5054	0.5181	0.6864

Framework versions

• Transformers 4.51.1
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1