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Nepali-GPT2-CausalLM
raygx/Nepali-GPT2-CausalLM
Nepali-GPT2-CausalLM is a text generation model from raygx. Use it when you need the model to write or continue text. It is set up for transformers.
probably proofread and complete it, then remove this comment. --
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4.6 GB
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Jun 29, 2023
- Updated
- Jul 8, 2023
- SHA
- df42708b
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
Nepali-GPT2-CausalLM
This model is a fine-tuned version of raygx/Nepali-GPT2-CausalLM on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 4.7022
- Validation Loss: 4.6237
- Epoch: 1
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': 1e-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 | Validation Loss | Epoch |
|---|---|---|
| 4.8141 | 4.6678 | 0 |
| 4.7022 | 4.6237 | 1 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.11.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- Created
- Jun 29, 2023
- Updated
- Jul 8, 2023