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SmolLM-135M_inst-sample-240809 – AI Model by juniorVision | AlphaNeural AI

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juniorVision/
SmolLM-135M_inst-sample-240809

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text-generation

generated_from_trainer

HuggingFaceTB/SmolLM-135M

autotrain_compatible

text-generation-inference

endpoints_compatible

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SmolLM-135M_inst-sample-240809

This model is a fine-tuned version of HuggingFaceTB/SmolLM-135M on the generator 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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Use OptimizerNames.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: 1.0

Training results

Framework versions

Transformers 4.46.1
Pytorch 2.4.1+cu124
Datasets 3.1.0
Tokenizers 0.20.1