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molgpt – AI Model by msb-roshan | AlphaNeural AI
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msb-roshan
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molgpt
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transformers
pytorch
safetensors
gpt2
text-generation
generated_from_trainer
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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molgpt
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.2035
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: 0.0005
train_batch_size: 128
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 1024
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10000
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
3.3029
1.0
100906
3.2035
Framework versions
Transformers 4.30.2
Pytorch 2.0.0+cu117
Datasets 2.14.4
Tokenizers 0.13.3
