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lora_results_2023_10_13_big – AI Model by andersonjas | AlphaNeural AI
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lora_results_2023_10_13_big
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generated_from_trainer
mistralai/Mistral-7B-v0.1
finetune
apache-2.0
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lora_results_2023_10_13_big
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the None 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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.3
num_epochs: 8
Framework versions
Transformers 4.35.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.14.0
