Gemma-2-2B_task-1_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-1_auto and the GaetanMichelet/chat-120_ft_task-1_auto datasets. It achieves the following results on the evaluation set:

• Loss: 0.9272

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
2.3294	1.0	11	2.2008
1.6286	2.0	22	1.6358
1.2359	3.0	33	1.1649
0.9635	4.0	44	0.9962
0.8326	5.0	55	0.9411
0.7894	6.0	66	0.9272
0.6386	7.0	77	0.9589
0.5299	8.0	88	1.0148
0.4425	9.0	99	1.1574
0.306	10.0	110	1.3965
0.2155	11.0	121	1.5442
0.1928	12.0	132	1.7250
0.1191	13.0	143	1.8248

Framework versions

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