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distilgpt2-starter – AI Model by Langame | AlphaNeural AI
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Langame
/
distilgpt2-starter
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
Langame/starter
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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distilgpt2-starter
This model is a fine-tuned version of
distilgpt2
on the Langame/starter dataset. It achieves the following results on the evaluation set:
Loss: 6.0234
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: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 500.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
66.67
200
3.6445
No log
133.33
400
4.5703
1.0101
200.0
600
5.2109
1.0101
266.67
800
5.5430
0.0681
333.33
1000
5.7227
0.0681
400.0
1200
5.8672
0.0681
466.67
1400
5.9961
Framework versions
Transformers 4.17.0.dev0
Pytorch 1.10.0+cu111
Datasets 1.18.1
Tokenizers 0.11.0
