final_gemma_sequence_classification

This model is a fine-tuned version of google/gemma-2-9b on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2655
• Pearson: 0.9575

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: 0.0001
• train_batch_size: 32
• 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	Pearson
No log	1.0	199	0.2474	0.9467
No log	2.0	398	0.2228	0.9603
0.3275	3.0	597	0.2239	0.9498
0.3275	4.0	796	0.3003	0.9637
0.3275	5.0	995	0.2655	0.9575

Framework versions

• PEFT 0.14.0
• Transformers 4.45.2
• Pytorch 2.4.0a0+f70bd71a48.nv24.06
• Datasets 3.2.0
• Tokenizers 0.20.3