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mistral-finetuned-alpaca – AI Model by Niks-tech15 | AlphaNeural AI
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mistral-finetuned-alpaca
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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mistral-finetuned-alpaca
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset.
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: 8
eval_batch_size: 8
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: cosine
training_steps: 250
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.47.0.dev0
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3
