kr-manish/distilgpt2-finetuned-rawHrPolicyvf
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.2382
- Epoch: 8
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Epoch |
|---|---|
| 3.8398 | 0 |
| 3.6950 | 1 |
| 3.6270 | 2 |
| 3.5776 | 3 |
| 3.4771 | 4 |
| 3.4207 | 5 |
| 3.3600 | 6 |
| 3.2423 | 7 |
| 3.2382 | 8 |
Framework versions
- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1
- Downloads last month
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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for kr-manish/distilgpt2-finetuned-rawHrPolicyvf
Base model
distilbert/distilgpt2