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clm-wikitext-model – AI Model by arthur-neto | AlphaNeural AI
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arthur-neto
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clm-wikitext-model
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transformers
tf
gpt2
text-generation
generated_from_keras_callback
distilbert/distilgpt2
finetune
apache-2.0
endpoints_compatible
us
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arthur-neto/clm-wikitext-model
This model is a fine-tuned version of
distilgpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 3.8115
Validation Loss: 3.7451
Epoch: 2
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:
optimizer: {'name': 'AdamWeightDecay', 'learning_rate': np.float32(2e-05), 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
4.2038
3.8861
0
3.9224
3.7902
1
3.8115
3.7451
2
Framework versions
Transformers 4.57.1
TensorFlow 2.19.0
Datasets 4.0.0
Tokenizers 0.22.1
