Gemma_AAID_new_mixed_train

This model is a fine-tuned version of google/gemma-7b on the AAID_new_mixed dataset. It achieves the following results on the evaluation set:

• Loss: 0.6587

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: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
3.1586	0.0109	10	0.7907
0.6717	0.0219	20	0.7609
0.5741	0.0328	30	0.7404
0.5809	0.0438	40	0.7739
0.5313	0.0547	50	0.7002
0.4879	0.0656	60	0.7159
0.4665	0.0766	70	0.7063
0.4509	0.0875	80	0.6992
0.4542	0.0984	90	0.6915
0.4188	0.1094	100	0.6587
0.4131	0.1203	110	0.6637
0.4137	0.1313	120	0.6902
0.4087	0.1422	130	0.6949
0.3968	0.1531	140	0.6713
0.4048	0.1641	150	0.6878

Framework versions

• PEFT 0.11.1
• Transformers 4.41.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1