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results – AI Model by ZAID041 | AlphaNeural AI
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ZAID041
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results
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peft
safetensors
generated_from_trainer
mistralai/Mistral-7B-v0.1
adapter
apache-2.0
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This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 1.3209
eval_runtime: 1788.9744
eval_samples_per_second: 2.051
eval_steps_per_second: 0.257
epoch: 0.1938
step: 800
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Framework versions
PEFT 0.15.2
Transformers 4.53.2
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
