gemma-7b-it-dolly-15k-english-brainstorming

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

• Loss: 2.3974
• Rouge Scores: {'rouge1': 0.8672818649395687, 'rouge2': 0.6454332350275582, 'rougeL': 0.6351345254871303, 'rougeLsum': 0.8672626398857906}
• Bleu Scores: [0.8956480474494563, 0.8706364987273697, 0.8304269359390679, 0.785372823061285]
• Gen Len: 170.6158

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge Scores	Bleu Scores	Gen Len
2.3012	1.0	398	2.0026	{'rouge1': 0.8605967894222545, 'rouge2': 0.636131431928223, 'rougeL': 0.6291428969983008, 'rougeLsum': 0.860624331598749}	[0.8793248327807496, 0.8543278363738773, 0.8139923136639805, 0.7687265678282116]	170.5932
1.2054	2.0	796	2.0260	{'rouge1': 0.8587397434055452, 'rouge2': 0.6353005312218787, 'rougeL': 0.6345388735413529, 'rougeLsum': 0.8588818459220777}	[0.874882697664012, 0.8507131493229504, 0.8111205664503656, 0.7665706439816697]	170.6271
0.519	3.0	1194	2.3974	{'rouge1': 0.8672818649395687, 'rouge2': 0.6454332350275582, 'rougeL': 0.6351345254871303, 'rougeLsum': 0.8672626398857906}	[0.8956480474494563, 0.8706364987273697, 0.8304269359390679, 0.785372823061285]	170.6158

Framework versions

• PEFT 0.9.1.dev0
• Transformers 4.39.0.dev0
• Pytorch 2.1.0+cu121
• Datasets 2.18.1.dev0
• Tokenizers 0.15.2