llama-duo/gemma7b-summarize-gemini1.0pro-11k

gemma7b-summarize-11k

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

• Loss: 2.6219

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: 2
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• total_eval_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
2.8367	0.9907	53	2.7327
1.0189	2.0	107	2.3246
0.8788	2.9907	160	2.2786
0.8104	4.0	214	2.2754
0.7626	4.9907	267	2.3205
0.6665	6.0	321	2.3903
0.6015	6.9907	374	2.4630
0.5699	8.0	428	2.5837
0.5017	8.9907	481	2.6300
0.4969	9.9065	530	2.6219

Framework versions

• PEFT 0.10.0
• Transformers 4.40.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1