This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the GaetanMichelet/chat-60_ft_task-3_auto and the GaetanMichelet/chat-120_ft_task-3_auto datasets. It achieves the following results on the evaluation set:

Loss: 0.8521

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
1.246	0.9091	5	1.1940
1.1422	2.0	11	1.0793
1.0294	2.9091	16	1.0066
0.8899	4.0	22	0.9020
0.8298	4.9091	27	0.8737
0.7997	6.0	33	0.8607
0.7828	6.9091	38	0.8527
0.7537	8.0	44	0.8521
0.701	8.9091	49	0.8577
0.6948	10.0	55	0.8667
0.622	10.9091	60	0.8851
0.542	12.0	66	0.9304
0.4829	12.9091	71	0.9685
0.4214	14.0	77	1.0037
0.314	14.9091	82	1.0333

Framework versions

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

GaetanMichelet/Mistral-7B_task-3_120-samples_config-2_full_auto

Mistral-7B_task-3_120-samples_config-2_full_auto

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

GaetanMichelet/
Mistral-7B_task-3_120-samples_config-2_full_auto