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chordgpt – AI Model by xiejoshua | AlphaNeural AI
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xiejoshua
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chordgpt
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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chordgpt
Model description
This model is a fine-tuned version of
gpt2
on 25% of the
Chordonomicon
dataset. It achieves the following results on the evaluation set:
Loss: 0.6764
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: 8
eval_batch_size: 8
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.7419
1.0
20574
0.7264
0.7007
2.0
41148
0.6919
0.6756
3.0
61722
0.6764
Framework versions
Transformers 4.55.4
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4
