gemma7b-summarize-gpt4o-80k

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

• Loss: 5.1111

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: 15

Training results

Training Loss	Epoch	Step	Validation Loss
1.2272	1.0	111	2.3900
0.9374	2.0	222	2.1928
0.8471	3.0	333	2.1682
0.7873	4.0	444	2.2036
0.685	5.0	555	2.2977
0.6223	6.0	666	2.4441
0.5378	7.0	777	2.6715
0.458	8.0	888	2.9555
0.3843	9.0	999	3.4365
0.3241	10.0	1110	3.8823
0.2825	11.0	1221	4.4044
0.2549	12.0	1332	4.8382
0.2408	13.0	1443	5.0611
0.2361	14.0	1554	5.1061
0.2319	15.0	1665	5.1111

Framework versions

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