Gemma-2-2B_task-2_60-samples_config-2_full

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

• Loss: 0.8957

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: 16
• total_train_batch_size: 16
• 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
1.2929	0.6957	2	1.3116
1.3056	1.7391	5	1.2842
1.2411	2.7826	8	1.1890
1.1401	3.8261	11	1.1172
1.0766	4.8696	14	1.0738
1.024	5.9130	17	1.0270
0.9524	6.9565	20	0.9851
0.9285	8.0	23	0.9539
0.8884	8.6957	25	0.9410
0.8534	9.7391	28	0.9267
0.8501	10.7826	31	0.9164
0.8295	11.8261	34	0.9091
0.7979	12.8696	37	0.9039
0.796	13.9130	40	0.9001
0.7651	14.9565	43	0.8977
0.769	16.0	46	0.8965
0.733	16.6957	48	0.8957
0.743	17.7391	51	0.8961
0.7346	18.7826	54	0.8963
0.7113	19.8261	57	0.8982
0.7027	20.8696	60	0.9012
0.6939	21.9130	63	0.9043
0.6772	22.9565	66	0.9081
0.6706	24.0	69	0.9127

Framework versions

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