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--- |
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tags: |
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- generated_from_keras_callback |
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base_model: raygx/Nepali-GPT2-CausalLM |
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model-index: |
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- name: Nepali-GPT2-CausalLM |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# Nepali-GPT2-CausalLM |
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This model is a fine-tuned version of [raygx/Nepali-GPT2-CausalLM](https://huggingface.co/raygx/Nepali-GPT2-CausalLM) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 4.7022 |
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- Validation Loss: 4.6237 |
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- Epoch: 1 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 4.8141 | 4.6678 | 0 | |
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| 4.7022 | 4.6237 | 1 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- TensorFlow 2.11.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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