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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: 1.5428 |
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- Accuracy: 0.3760 |
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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 | 1.8660 | 0.2296 | |
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| No log | 2.0 | 392 | 1.7639 | 0.2457 | |
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| 1.9099 | 3.0 | 588 | 1.7296 | 0.2528 | |
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| 1.9099 | 4.0 | 784 | 1.7125 | 0.2547 | |
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| 1.9099 | 5.0 | 980 | 1.7017 | 0.2595 | |
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| 1.7129 | 6.0 | 1176 | 1.6944 | 0.2946 | |
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| 1.7129 | 7.0 | 1372 | 1.6882 | 0.2872 | |
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| 1.6904 | 8.0 | 1568 | 1.6827 | 0.2830 | |
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| 1.6904 | 9.0 | 1764 | 1.6742 | 0.3204 | |
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| 1.6904 | 10.0 | 1960 | 1.6570 | 0.3312 | |
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| 1.6668 | 11.0 | 2156 | 1.6293 | 0.3514 | |
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| 1.6668 | 12.0 | 2352 | 1.6035 | 0.3555 | |
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| 1.6166 | 13.0 | 2548 | 1.5813 | 0.3607 | |
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| 1.6166 | 14.0 | 2744 | 1.5664 | 0.3671 | |
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| 1.6166 | 15.0 | 2940 | 1.5578 | 0.3715 | |
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| 1.5574 | 16.0 | 3136 | 1.5547 | 0.3715 | |
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| 1.5574 | 17.0 | 3332 | 1.5444 | 0.3738 | |
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| 1.5278 | 18.0 | 3528 | 1.5429 | 0.3760 | |
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| 1.5278 | 19.0 | 3724 | 1.5402 | 0.3757 | |
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| 1.5278 | 20.0 | 3920 | 1.5384 | 0.3738 | |
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| 1.5141 | 21.0 | 4116 | 1.5351 | 0.3745 | |
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| 1.5141 | 22.0 | 4312 | 1.5373 | 0.3738 | |
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| 1.5091 | 23.0 | 4508 | 1.5356 | 0.3715 | |
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| 1.5091 | 24.0 | 4704 | 1.5353 | 0.3730 | |
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| 1.5091 | 25.0 | 4900 | 1.5349 | 0.3734 | |
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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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