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TEEN2M-causal – AI Model by sandeepmaddu | AlphaNeural AI

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sandeepmaddu/
TEEN2M-causal

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text-generation

generated_from_trainer

distilbert/distilgpt2

autotrain_compatible

text-generation-inference

endpoints_compatible

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sep24-langmodel-causal

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: 7.3695
eval_model_preparation_time: 0.0017
eval_runtime: 1969.2507
eval_samples_per_second: 508.572
eval_steps_per_second: 127.143
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 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1