You can deploy this model and start earning money today!

chaymaemerhrioui/
mistral-Brain_Model_ACC_Trainer

Name: mistral-Brain_Model_ACC_Trainer
Availability: InStock

peft

safetensors

generated_from_trainer

chaymaemerhrioui/ACC_Dataset

mistralai/Mistral-7B-Instruct-v0.3

adapter

apache-2.0

Views

No views yet

Brain_Model_ACC_Trainer

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1245

Model description

The system in question incorporates a sophisticated model designed to process user-provided inputs, specifically descriptions of various systems, and subsequently generate comprehensive and detailed descriptions of those systems. By analyzing the initial input, the model effectively elaborates on the provided information, producing an extensive and formalized depiction that enhances the understanding and documentation of the system described.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.0754	0.1	20	0.9337
0.5144	0.2	40	0.3974
0.2526	0.3	60	0.2197
0.193	0.4	80	0.1900
0.1939	0.5	100	0.1733
0.1695	0.6	120	0.1645
0.1739	0.7	140	0.1567
0.1511	0.8	160	0.1504
0.1484	0.9	180	0.1462
0.1419	1.0	200	0.1435
0.1467	1.1	220	0.1410
0.1315	1.2	240	0.1384
0.1344	1.3	260	0.1370
0.1411	1.4	280	0.1355
0.1338	1.5	300	0.1346
0.128	1.6	320	0.1324
0.1312	1.7	340	0.1328
0.1191	1.8	360	0.1312
0.1228	1.9	380	0.1301
0.1317	2.0	400	0.1291
0.1152	2.1	420	0.1291
0.1167	2.2	440	0.1285
0.1178	2.3	460	0.1283
0.1184	2.4	480	0.1268
0.118	2.5	500	0.1267
0.1104	2.6	520	0.1258
0.1128	2.7	540	0.1254
0.1113	2.8	560	0.1249
0.1174	2.9	580	0.1247
0.1081	3.0	600	0.1245

Framework versions

PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1

chaymaemerhrioui/mistral-Brain_Model_ACC_Trainer