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bs_256_lr_0.0001_datasets_all – AI Model by kingsleykim | AlphaNeural AI
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bs_256_lr_0.0001_datasets_all
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transformers
safetensors
qwen2
text-generation
generated_from_trainer
conversational
autotrain_compatible
text-generation-inference
endpoints_compatible
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bs_256_lr_0.0001_datasets_all
This model was trained from scratch 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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 256
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Framework versions
Transformers 4.46.3
Pytorch 2.4.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3
