Gemma-2-2B_task-1_120-samples_config-1_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: 0.9736

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
1.7508	1.0	11	1.5552
1.066	2.0	22	1.1328
0.9348	3.0	33	1.0277
0.8176	4.0	44	0.9744
0.6379	5.0	55	0.9736
0.497	6.0	66	1.0945
0.3367	7.0	77	1.3432
0.2147	8.0	88	1.6289
0.1552	9.0	99	1.8935
0.0668	10.0	110	2.0182
0.0425	11.0	121	2.3609
0.0507	12.0	132	2.3115

Framework versions

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