| --- |
| license: mit |
| base_model: gpt2 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: indic-gpt |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # indic-gpt |
|
|
| This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.2759 |
|
|
| ## 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 |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0005 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 256 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 1000 |
| - num_epochs: 1 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 5.7117 | 0.13 | 100 | 4.2005 | |
| | 3.6363 | 0.25 | 200 | 3.2403 | |
| | 3.091 | 0.38 | 300 | 2.7889 | |
| | 2.7788 | 0.51 | 400 | 2.5699 | |
| | 2.5997 | 0.64 | 500 | 2.4369 | |
| | 2.5141 | 0.76 | 600 | 2.3491 | |
| | 2.4268 | 0.89 | 700 | 2.2759 | |
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| ### Framework versions |
|
|
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.0 |
| - Tokenizers 0.15.0 |
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|
