You can deploy this model and start earning money today!

xummer/
mistral-7b-belebele-lora-jpn-jpan

Name: mistral-7b-belebele-lora-jpn-jpan
Availability: InStock

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

other

Views

No views yet

belebele_jpn_Jpan

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

Loss: 0.0785
Accuracy: 0.9589
Mcq Accuracy: 0.7179

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Mcq Accuracy
0.0787	2.5	40	0.1048	0.9430	0.4615
0.0380	5.0	80	0.0785	0.9589	0.7179

Framework versions

PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

xummer/mistral-7b-belebele-lora-jpn-jpan

belebele_jpn_Jpan

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

xummer/
mistral-7b-belebele-lora-jpn-jpan