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--- |
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license: apache-2.0 |
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base_model: mnaylor/mega-base-wikitext |
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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: mega-base-wikitext-finetuned-INCIBE |
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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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# mega-base-wikitext-finetuned-INCIBE |
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This model is a fine-tuned version of [mnaylor/mega-base-wikitext](https://huggingface.co/mnaylor/mega-base-wikitext) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5169 |
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- Accuracy: 0.3850 |
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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: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 25 |
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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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| No log | 1.0 | 196 | 1.5359 | 0.3742 | |
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| No log | 2.0 | 392 | 1.5257 | 0.3753 | |
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| 1.5035 | 3.0 | 588 | 1.5320 | 0.3719 | |
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| 1.5035 | 4.0 | 784 | 1.5231 | 0.3715 | |
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| 1.5035 | 5.0 | 980 | 1.5203 | 0.3745 | |
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| 1.4755 | 6.0 | 1176 | 1.5217 | 0.3742 | |
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| 1.4755 | 7.0 | 1372 | 1.5301 | 0.3719 | |
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| 1.4531 | 8.0 | 1568 | 1.5131 | 0.3805 | |
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| 1.4531 | 9.0 | 1764 | 1.5212 | 0.3783 | |
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| 1.4531 | 10.0 | 1960 | 1.5173 | 0.3771 | |
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| 1.4426 | 11.0 | 2156 | 1.5190 | 0.3809 | |
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| 1.4426 | 12.0 | 2352 | 1.5122 | 0.3794 | |
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| 1.4238 | 13.0 | 2548 | 1.5129 | 0.3794 | |
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| 1.4238 | 14.0 | 2744 | 1.5176 | 0.3783 | |
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| 1.4238 | 15.0 | 2940 | 1.5139 | 0.3783 | |
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| 1.4161 | 16.0 | 3136 | 1.5235 | 0.3805 | |
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| 1.4161 | 17.0 | 3332 | 1.5125 | 0.3846 | |
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| 1.4115 | 18.0 | 3528 | 1.5171 | 0.3827 | |
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| 1.4115 | 19.0 | 3724 | 1.5112 | 0.3827 | |
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| 1.4115 | 20.0 | 3920 | 1.5123 | 0.3816 | |
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| 1.4052 | 21.0 | 4116 | 1.5126 | 0.3827 | |
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| 1.4052 | 22.0 | 4312 | 1.5170 | 0.3850 | |
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| 1.4004 | 23.0 | 4508 | 1.5135 | 0.3805 | |
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| 1.4004 | 24.0 | 4704 | 1.5157 | 0.3809 | |
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| 1.4004 | 25.0 | 4900 | 1.5160 | 0.3824 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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