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autoregressive_finetune – AI Model by katieguo | AlphaNeural AI
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katieguo
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autoregressive_finetune
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
distilbert/distilgpt2
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Model card
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autoregressive_finetune
This model is a fine-tuned version of
distilbert/distilgpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.1804
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
11
3.3733
No log
2.0
22
3.2230
No log
3.0
33
3.1804
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
