This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the GaetanMichelet/chat-60_ft_task-2_auto dataset. It achieves the following results on the evaluation set:

Loss: 0.4866

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
0.7431	0.6957	2	0.7449
0.7384	1.7391	5	0.6326
0.5622	2.7826	8	0.5593
0.5178	3.8261	11	0.5219
0.4354	4.8696	14	0.4904
0.3931	5.9130	17	0.4866
0.3085	6.9565	20	0.4901
0.2647	8.0	23	0.5032
0.2271	8.6957	25	0.5300
0.1316	9.7391	28	0.6066
0.11	10.7826	31	0.6682
0.0479	11.8261	34	0.7445
0.0271	12.8696	37	0.8261

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-2_60-samples_config-2_auto

Mistral-7B_task-2_60-samples_config-2_auto

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

GaetanMichelet/
Mistral-7B_task-2_60-samples_config-2_auto