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vistral-economics-v3.3 – AI Model by dchatca | AlphaNeural AI
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vistral-economics-v3.3
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
Viet-Mistral/Vistral-7B-Chat
adapter
afl-3.0
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This model is a fine-tuned version of
Viet-Mistral/Vistral-7B-Chat
on an Q&A 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: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 100
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
