Gemma-2-2B_task-3_120-samples_config-1_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: 0.3683

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
2.9033	1.0	11	2.6049
0.9959	2.0	22	0.9211
0.3036	3.0	33	0.4791
0.3507	4.0	44	0.4003
0.2977	5.0	55	0.3683
0.2739	6.0	66	0.3752
0.1787	7.0	77	0.4405
0.1167	8.0	88	0.5093
0.0928	9.0	99	0.6303
0.0316	10.0	110	0.7082
0.0231	11.0	121	0.6810
0.0257	12.0	132	0.8246

Framework versions

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