Mistral-7B_task-1_120-samples_config-2_full_auto

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 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: 0.8310

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
1.7345	0.9091	5	1.6531
1.5053	2.0	11	1.3128
1.0785	2.9091	16	0.9976
0.8576	4.0	22	0.8725
0.7886	4.9091	27	0.8354
0.6952	6.0	33	0.8310
0.5826	6.9091	38	0.8411
0.4708	8.0	44	0.8912
0.3586	8.9091	49	0.9641
0.2553	10.0	55	1.0596
0.2006	10.9091	60	1.1654
0.1612	12.0	66	1.2358
0.1398	12.9091	71	1.2213

Framework versions

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