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finetuned-lora-resume-parser-v1 – AI Model by Meet-Kadam | AlphaNeural AI
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finetuned-lora-resume-parser-v1
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
apache-2.0
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finetuned-lora-resume-parser-v1
This model is a fine-tuned version of
mistralai/mathstral-7b-v0.1
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT 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: 50
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.17.1
Transformers 4.56.0
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.22.0
