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slm-125m-simple-english – AI Model by VehaanS | AlphaNeural AI
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VehaanS
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slm-125m-simple-english
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transformers
safetensors
llama
text-generation
generated_from_trainer
VehaanS/slm-125m-pretrained
finetune
text-generation-inference
endpoints_compatible
us
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slm-125m-simple-english
This model is a fine-tuned version of
VehaanS/slm-125m-pretrained
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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 128
total_eval_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 200
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2
