Model save
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README.md
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# sinhala_gpt2
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps:
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- num_epochs:
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### Training results
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### Framework versions
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# sinhala_gpt2
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4181
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 10
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 12.5768 | 0.0737 | 20 | 11.7031 |
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| 10.6016 | 0.1475 | 40 | 10.1428 |
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| 9.5592 | 0.2212 | 60 | 8.4000 |
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| 7.7086 | 0.2949 | 80 | 6.1398 |
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| 6.1288 | 0.3687 | 100 | 5.1259 |
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| 5.2551 | 0.4424 | 120 | 4.4283 |
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| 4.7127 | 0.5161 | 140 | 4.0241 |
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| 4.3572 | 0.5899 | 160 | 3.7673 |
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| 4.1243 | 0.6636 | 180 | 3.6012 |
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| 3.9714 | 0.7373 | 200 | 3.5126 |
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| 3.8867 | 0.8111 | 220 | 3.4489 |
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| 3.8334 | 0.8848 | 240 | 3.4256 |
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| 3.8204 | 0.9585 | 260 | 3.4181 |
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### Framework versions
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