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base_LLM_CAC_200M_final – AI Model by VTSNLP | AlphaNeural AI
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base_LLM_CAC_200M_final
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base_LLM_CAC_200M_final
This model is a fine-tuned version of
wanderer2k1/base_LLM_183MB_concat_and_chunk
on an unknown 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: 3.6e-05
train_batch_size: 8
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1
