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Wing4/
mistral-7b-finetuned-crypto

Name: mistral-7b-finetuned-crypto
Availability: InStock

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

apache-2.0

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mistral-7b-finetuned-crypto

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: 0.0380

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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.0789	0.2020	250	0.1428
0.0441	0.4040	500	0.0632
0.0261	0.6061	750	0.0444
0.0254	0.8081	1000	0.0380

Framework versions

PEFT 0.17.0
Transformers 4.55.1
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4

Wing4/mistral-7b-finetuned-crypto

mistral-7b-finetuned-crypto

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Wing4/
mistral-7b-finetuned-crypto