tsel_distilgpt
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.6157
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 1 | 5.9501 |
| No log | 2.0 | 2 | 5.8630 |
| No log | 3.0 | 3 | 5.7924 |
| No log | 4.0 | 4 | 5.7383 |
| No log | 5.0 | 5 | 5.6969 |
| No log | 6.0 | 6 | 5.6665 |
| No log | 7.0 | 7 | 5.6445 |
| No log | 8.0 | 8 | 5.6297 |
| No log | 9.0 | 9 | 5.6202 |
| No log | 10.0 | 10 | 5.6157 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.2
- Tokenizers 0.13.3
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Model tree for dev-ninja/tsel_distilgpt
Base model
distilbert/distilgpt2