rubik_roberta_clm
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4334
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9546 | 1.0 | 1013 | 0.6345 |
| 0.6725 | 2.0 | 2026 | 0.4716 |
| 0.5975 | 3.0 | 3039 | 0.4334 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.3.0.dev20240108
- Datasets 2.16.1
- Tokenizers 0.15.0
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Base model
distilbert/distilgpt2