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gpt2-finetuned-wikitext2 – AI Model by graphcore-rahult | AlphaNeural AI
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graphcore-rahult
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gpt2-finetuned-wikitext2
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transformers
pytorch
optimum_graphcore
gpt2
text-generation
generated_from_trainer
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gpt2-finetuned-wikitext2
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.6758
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: 1
eval_batch_size: 1
seed: 42
distributed_type: IPU
gradient_accumulation_steps: 16
total_train_batch_size: 128
total_eval_batch_size: 20
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
training precision: Mixed Precision
Training results
Training Loss
Epoch
Step
Validation Loss
4.1344
1.0
145
3.7656
3.8846
2.0
290
3.6953
3.7496
3.0
435
3.6758
Framework versions
Transformers 4.20.1
Pytorch 1.10.0+cpu
Datasets 2.7.1
Tokenizers 0.12.1
