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YildizTekno/
mcdc-test-mistral

Name: mcdc-test-mistral
Availability: InStock

peft

safetensors

generated_from_trainer

mistralai/Mistral-7B-Instruct-v0.2

adapter

apache-2.0

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mcdc-test-mistral

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5090
Perplexity: 1.6636

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: 4
eval_batch_size: 4
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Perplexity
1.249	0.2632	5	1.1492	3.1557
0.8949	0.5263	10	0.9671	2.6304
0.9403	0.7895	15	0.8533	2.3474
0.8411	1.0526	20	0.7721	2.1643
0.5975	1.3158	25	0.7005	2.0148
0.7067	1.5789	30	0.6430	1.9021
0.564	1.8421	35	0.5939	1.8111
0.5615	2.1053	40	0.5566	1.7448
0.5646	2.3684	45	0.5321	1.7025
0.4684	2.6316	50	0.5167	1.6764
0.5739	2.8947	55	0.5090	1.6636

Framework versions

PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

YildizTekno/mcdc-test-mistral

mcdc-test-mistral

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

YildizTekno/
mcdc-test-mistral