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--- |
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license: apache-2.0 |
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base_model: Sakonii/distilgpt2-nepali |
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tags: |
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- generated_from_trainer |
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widget: |
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- text: 'नेपाली राजनीतिमा युवा पिढीको भूमिका के हो? ' |
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example_title: Example 1 |
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- text: 'नेपालको ग्रामीण र शहरी क्षेत्रमा स्वास्थ्य सेवा कस्तो छ? ' |
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example_title: Example 2 |
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- text: 'नेपाली राजनीतिमा युवा पिढीको भूमिका के हो? ' |
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example_title: Example 3 |
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model-index: |
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- name: distilgpt2-nepali-qa |
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results: [] |
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language: |
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- ne |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# distilgpt2-nepali-patrakar-qa |
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This model is a fine-tuned version of [Sakonii/distilgpt2-nepali](https://huggingface.co/Sakonii/distilgpt2-nepali) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.9077 |
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## Model description |
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Refer to original [distilgpt2](https://huggingface.co/distilgpt2) |
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## Intended uses & limitations |
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This marginally fine-tuned model can be used for Nepali text generation and possibly question answering and intends to be fine-tuned on Nepali language focused generative downstream task. |
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The language model being trained on a data with texts grouped to a block size of 512, it handles text sequence up to 512 tokens. |
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## Training procedure |
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The model is trained with the same configuration as the original [distilgpt2](https://huggingface.co/distilgpt2); but with 512 tokens per instance, 72 instances per batch, and around 34.14K training steps (excluding the pre-training with CLM Objective). |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 72 |
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- eval_batch_size: 72 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 4.1278 | 1.0 | 6829 | 4.0184 | |
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| 3.9461 | 2.0 | 13658 | 3.9630 | |
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| 3.8268 | 3.0 | 20487 | 3.9319 | |
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| 3.7978 | 4.0 | 27316 | 3.9140 | |
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| 3.7949 | 5.0 | 34145 | 3.9077 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
