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aug16-langmodel-causal – AI Model by sandeepmaddu | AlphaNeural AI

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sandeepmaddu/
aug16-langmodel-causal

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distilbert/distilgpt2

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distilgpt2-code-mixed

This model is a fine-tuned version of distilbert/distilgpt2 on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 7.2928
eval_runtime: 3264.4675
eval_samples_per_second: 497.724
eval_steps_per_second: 124.431
step: 0

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-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1