demo-1109
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9580
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 |
|---|---|---|---|
| No log | 1.0 | 25 | 3.9807 |
| No log | 2.0 | 50 | 3.9622 |
| No log | 3.0 | 75 | 3.9580 |
Framework versions
- Transformers 4.35.0
- Pytorch 1.12.0+cu102
- Datasets 2.14.6
- Tokenizers 0.14.1
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Inference Providers
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the model is not deployed on the HF Inference API.
Model tree for tokxun/demo-1109
Base model
distilbert/distilgpt2