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watson-cerebras – AI Model by pbear1973 | AlphaNeural AI
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pbear1973
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watson-cerebras
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transformers
tf
gpt2
text-generation
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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watson-cerebras
This model is a fine-tuned version of
cerebras/Cerebras-GPT-111M
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.4660
Validation Loss: 5.9842
Epoch: 9
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
1.9574
4.6971
0
1.4977
4.9437
1
1.1154
5.1888
2
0.8291
5.4171
3
0.6540
5.5523
4
0.5654
5.6664
5
0.5230
5.7875
6
0.4976
5.8304
7
0.4838
5.8645
8
0.4660
5.9842
9
Framework versions
Transformers 4.30.2
TensorFlow 2.12.0
Datasets 2.13.1
Tokenizers 0.13.3