checkmate-gemma-classifier-v1

This model is a fine-tuned version of google/gemma-2b on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Accuracy: 0.2888
• F1: 0.0

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.931	0.0710	25	nan	0.2888	0.0
0.0	0.1420	50	nan	0.2888	0.0
0.0	0.2131	75	nan	0.2888	0.0
0.0	0.2841	100	nan	0.2888	0.0

Framework versions

• PEFT 0.10.0
• Transformers 4.40.1
• Pytorch 2.8.0+cu126
• Datasets 2.18.0
• Tokenizers 0.19.1