This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-2, the GaetanMichelet/chat-120_ft_task-2 and the GaetanMichelet/chat-180_ft_task-2 datasets. It achieves the following results on the evaluation set:

Loss: 0.8710

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
1.3182	0.9412	8	1.3144
1.2253	2.0	17	1.1693
1.1196	2.9412	25	1.0760
0.9289	4.0	34	0.9662
0.8623	4.9412	42	0.9212
0.8786	6.0	51	0.8973
0.861	6.9412	59	0.8845
0.8112	8.0	68	0.8751
0.7491	8.9412	76	0.8714
0.7439	10.0	85	0.8710
0.7136	10.9412	93	0.8754
0.6546	12.0	102	0.8866
0.6539	12.9412	110	0.9093
0.632	14.0	119	0.9347
0.543	14.9412	127	0.9885
0.4869	16.0	136	1.0262
0.4926	16.9412	144	1.0435

Framework versions

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

GaetanMichelet/Gemma-2-2B_task-2_180-samples_config-2_full

Gemma-2-2B_task-2_180-samples_config-2_full

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

GaetanMichelet/
Gemma-2-2B_task-2_180-samples_config-2_full