nikaashpuri/gpt-expt-sp-v3-K-200-1-mixed-clustering
016
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gpt-expt-sp-v3-K-200-1-mixed-clustering
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0451
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
- trainbatchsize: 32
- evalbatchsize: 32
- seed: 42
- gradientaccumulationsteps: 8
- totaltrainbatch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: cosine
- lrschedulerwarmup_steps: 1000
- num_epochs: 500
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.2