<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
gpt2-xl-fine-tuned-debiased
This model is a fine-tuned version of gpt2-xl on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1714
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
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100.0
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 0.91 | 10 | 1.9130 |
No log | 1.91 | 20 | 1.7356 |
No log | 2.91 | 30 | 1.9216 |
No log | 3.91 | 40 | 2.1714 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.5.0
- Datasets 1.12.1
- Tokenizers 0.11.6