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

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

• Loss: 0.9431

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
1.3447	1.0	11	1.3663
1.1652	2.0	22	1.2194
1.1036	3.0	33	1.0959
1.021	4.0	44	0.9977
0.9434	5.0	55	0.9632
0.8982	6.0	66	0.9467
0.8566	7.0	77	0.9431
0.8274	8.0	88	0.9472
0.75	9.0	99	0.9635
0.6436	10.0	110	1.0183
0.6415	11.0	121	1.0607
0.5077	12.0	132	1.1554
0.5122	13.0	143	1.2327
0.3314	14.0	154	1.3615

Framework versions

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