llama2-7b-dolly-15k-english-brainstorming

This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.4495
• Rouge Scores: {'rouge1': 0.909928741133593, 'rouge2': 0.7574610486627078, 'rougeL': 0.7496177557224393, 'rougeLsum': 0.9101177977425297}
• Bleu Scores: [0.9328251519842002, 0.9162382956266107, 0.8899824380838529, 0.8608522609093684]
• Gen Len: 281.4011

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
1.27	1.0	398	1.2374	{'rouge1': 0.9113183860184271, 'rouge2': 0.7652862425743366, 'rougeL': 0.7602856954249027, 'rougeLsum': 0.9113774574131643}	[0.9271866971964826, 0.91150490516762, 0.8866857089044207, 0.8591757741475906]	281.4011
0.9162	2.0	796	1.2975	{'rouge1': 0.9106300346974161, 'rouge2': 0.7616564526176227, 'rougeL': 0.756016788228141, 'rougeLsum': 0.9107552164918193}	[0.9320014559180246, 0.9157774445648816, 0.8902212624183459, 0.861917002429179]	281.4011
0.5391	3.0	1194	1.4495	{'rouge1': 0.909928741133593, 'rouge2': 0.7574610486627078, 'rougeL': 0.7496177557224393, 'rougeLsum': 0.9101177977425297}	[0.9328251519842002, 0.9162382956266107, 0.8899824380838529, 0.8608522609093684]	281.4011

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