beston91/gpt2-xl_ft_logits_5k_experiment
034
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gpt2-xlftlogits5kexperiment
This model is a fine-tuned version of gpt2-xl on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.8601
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
- trainbatchsize: 8
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 64
- totaltrainbatch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_steps: 100.0
- num_epochs: 4
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
Perplexity
Score: 17.589759826660156