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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: GPT2_bigram_function_53 |
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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_bigram_function_53 |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.6936 |
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- Accuracy: 0.3579 |
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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: 0.0001 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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- seed: 53 |
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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: 10000 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 4.8992 | 1.0 | 6420 | 4.6850 | 0.2564 | |
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| 4.291 | 2.0 | 12840 | 4.1666 | 0.2988 | |
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| 4.0377 | 3.0 | 19260 | 3.9777 | 0.3204 | |
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| 3.9117 | 4.0 | 25680 | 3.8764 | 0.3325 | |
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| 3.813 | 5.0 | 32100 | 3.8146 | 0.3408 | |
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| 3.7448 | 6.0 | 38520 | 3.7702 | 0.3463 | |
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| 3.6872 | 7.0 | 44940 | 3.7413 | 0.3504 | |
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| 3.634 | 8.0 | 51360 | 3.7162 | 0.3537 | |
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| 3.5866 | 9.0 | 57780 | 3.7015 | 0.3563 | |
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| 3.5458 | 10.0 | 64200 | 3.6936 | 0.3579 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.9.1+cu128 |
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- Datasets 4.1.1 |
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- Tokenizers 0.13.3 |
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