Gemma-2-2B_task-2_120-samples_config-1

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

• Loss: 0.6751

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
0.9426	1.0	11	1.0277
0.7193	2.0	22	0.8336
0.654	3.0	33	0.7474
0.6017	4.0	44	0.7072
0.5602	5.0	55	0.6802
0.4885	6.0	66	0.6751
0.4015	7.0	77	0.7140
0.3378	8.0	88	0.7643
0.2011	9.0	99	0.9956
0.1133	10.0	110	1.1606
0.0573	11.0	121	1.3294
0.0337	12.0	132	1.3807
0.0259	13.0	143	1.5132

Framework versions

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