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quan-1.8b-base – AI Model by qnguyen3 | AlphaNeural AI
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qnguyen3
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quan-1.8b-base
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transformers
pytorch
llama
text-generation
generated_from_trainer
KnutJaegersberg/Qwen-1_8B-Llamafied
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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qwen-1.8b-vi-pt
This model is a fine-tuned version of
KnutJaegersberg/Qwen-1_8B-Llamafied
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: 2e-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 32
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 1
Training results
Framework versions
Transformers 4.34.1
Pytorch 2.0.1+cu118
Datasets 2.14.6
Tokenizers 0.14.1
