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

• Loss: 1.0136

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
2.4912	1.0	11	2.4122
1.8242	2.0	22	1.8003
1.3712	3.0	33	1.2810
1.0733	4.0	44	1.1023
0.9287	5.0	55	1.0314
0.8686	6.0	66	1.0136
0.6842	7.0	77	1.0365
0.5911	8.0	88	1.0808
0.4827	9.0	99	1.2147
0.3254	10.0	110	1.4074
0.2263	11.0	121	1.6078
0.1939	12.0	132	1.8584
0.1191	13.0	143	1.9537

Framework versions

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