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mistral-7b-10k_25_tok_5e_no_quant – AI Model by Mitrofazotron | AlphaNeural AI
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mistral-7b-10k_25_tok_5e_no_quant
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peft
safetensors
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mistralai/Mistral-7B-Instruct-v0.2
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mistral-7b-10k_25_tok_5e_no_quant
This model is a fine-tuned version of
mistralai/Mistral-7B-Instruct-v0.2
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: 0.002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 5
mixed_precision_training: Native AMP
Framework versions
PEFT 0.10.0
Transformers 4.40.0
Pytorch 2.2.2+cu121
Datasets 2.19.0
Tokenizers 0.19.1
