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science-causal-language-model – AI Model by ZachBeesley | AlphaNeural AI
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ZachBeesley
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science-causal-language-model
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transformers
tf
gpt2
text-generation
generated_from_keras_callback
distilbert/distilgpt2
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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ZachBeesley/science-causal-language-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: 3.7278
Validation Loss: 3.7323
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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
3.9077
3.7641
0
3.7879
3.7439
1
3.7278
3.7323
2
Framework versions
Transformers 4.31.0
TensorFlow 2.12.0
Datasets 2.14.2
Tokenizers 0.13.3
