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raulgdp/
Mistral-8B-Instruct-2410-2025-II

Name: Mistral-8B-Instruct-2410-2025-II
Availability: InStock

peft

safetensors

generated_from_trainer

mistralai/Ministral-8B-Instruct-2410

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Mistral-8B-Instruct-2410-2025-II

This model is a fine-tuned version of mistralai/Ministral-8B-Instruct-2410 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5701

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: 2e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.3018	0.8658	100	1.3113
1.1356	1.7273	200	1.1116
0.9729	2.5887	300	0.9593
0.7977	3.4502	400	0.8432
0.7237	4.3117	500	0.7587
0.6048	5.1732	600	0.6926
0.6142	6.0346	700	0.6468
0.5462	6.9004	800	0.6196
0.5386	7.7619	900	0.5937
0.5375	8.6234	1000	0.5801
0.4623	9.4848	1100	0.5701

Framework versions

PEFT 0.8.2
Transformers 4.57.1
Pytorch 2.7.1+cu118
Datasets 4.2.0
Tokenizers 0.22.1

raulgdp/Mistral-8B-Instruct-2410-2025-II

Mistral-8B-Instruct-2410-2025-II

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

raulgdp/
Mistral-8B-Instruct-2410-2025-II