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gpt-small-c4 – AI Model by ThanhHuyZZZ | AlphaNeural AI
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gpt-small-c4
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transformers
safetensors
gpt2
text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
us
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gpt-small-c4
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.4927
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
5.8328
0.2013
1000
5.7096
5.7165
0.4027
2000
5.6087
5.615
0.6040
3000
5.5364
5.5566
0.8053
4000
5.4927
Framework versions
Transformers 4.57.0
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
