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OPL-Coinbase – AI Model by Harish-as-harry | AlphaNeural AI
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OPL-Coinbase
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peft
safetensors
llama-factory
lora
generated_from_trainer
mistralai/Mistral-7B-Instruct-v0.1
adapter
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Coinbase-OPL
This model is a fine-tuned version of
mistralai/Mistral-7B-Instruct-v0.1
on the 4b364113-ef86-4b80-a3ad-92d16b9f7e96_1_alpaca 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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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
num_epochs: 3.0
Training results
Framework versions
PEFT 0.12.0
Transformers 4.49.0
Pytorch 2.7.0+cu126
Datasets 3.2.0
Tokenizers 0.21.0
