Gemma-2-2B_task-3_120-samples_config-1_full_auto

This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-3_auto and the GaetanMichelet/chat-120_ft_task-3_auto datasets. It achieves the following results on the evaluation set:

• Loss: 0.9359

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: 0.0001
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 8
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss
1.3429	1.0	11	1.3559
1.1584	2.0	22	1.2112
1.0941	3.0	33	1.0876
1.0134	4.0	44	0.9891
0.9378	5.0	55	0.9541
0.8949	6.0	66	0.9392
0.8546	7.0	77	0.9359
0.822	8.0	88	0.9411
0.7437	9.0	99	0.9580
0.6443	10.0	110	1.0089
0.6397	11.0	121	1.0663
0.5092	12.0	132	1.1413
0.5121	13.0	143	1.2276
0.3324	14.0	154	1.3167

Framework versions

• PEFT 0.12.0
• Transformers 4.44.0
• Pytorch 2.1.2+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1