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Model_1 – AI Model by tttpro | AlphaNeural AI
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Vikhr-7B-instruct_0.53-PRO8-sft
This model is a fine-tuned version of
models/Vikhr-7B-instruct_0.53-PRO8-pt
on the atechsplit+ruod+lenta0306x3_sft_2048 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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 1.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
