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--- |
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license: apache-2.0 |
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base_model: lighteternal/gpt2-finetuned-greek |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: gpt2_custom_c_q_and_a_v3 |
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results: [] |
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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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# gpt2_custom_c_q_and_a_v3 |
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This model is a fine-tuned version of [lighteternal/gpt2-finetuned-greek](https://huggingface.co/lighteternal/gpt2-finetuned-greek) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0066 |
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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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- learning_rate: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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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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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.3925 | 8.33 | 100 | 0.7608 | |
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| 0.4388 | 16.67 | 200 | 0.1300 | |
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| 0.1291 | 25.0 | 300 | 0.0496 | |
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| 0.0634 | 33.33 | 400 | 0.0244 | |
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| 0.0402 | 41.67 | 500 | 0.0164 | |
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| 0.0281 | 50.0 | 600 | 0.0115 | |
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| 0.0214 | 58.33 | 700 | 0.0091 | |
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| 0.0178 | 66.67 | 800 | 0.0086 | |
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| 0.0151 | 75.0 | 900 | 0.0079 | |
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| 0.0137 | 83.33 | 1000 | 0.0076 | |
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| 0.0122 | 91.67 | 1100 | 0.0075 | |
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| 0.0122 | 100.0 | 1200 | 0.0073 | |
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| 0.0111 | 108.33 | 1300 | 0.0072 | |
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| 0.011 | 116.67 | 1400 | 0.0070 | |
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| 0.0101 | 125.0 | 1500 | 0.0069 | |
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| 0.0107 | 133.33 | 1600 | 0.0072 | |
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| 0.0097 | 141.67 | 1700 | 0.0069 | |
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| 0.0094 | 150.0 | 1800 | 0.0069 | |
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| 0.0095 | 158.33 | 1900 | 0.0068 | |
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| 0.0094 | 166.67 | 2000 | 0.0067 | |
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| 0.0088 | 175.0 | 2100 | 0.0066 | |
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| 0.0088 | 183.33 | 2200 | 0.0067 | |
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| 0.0087 | 191.67 | 2300 | 0.0066 | |
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| 0.0088 | 200.0 | 2400 | 0.0066 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu118 |
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- Tokenizers 0.13.3 |
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