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--- |
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license: apache-2.0 |
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base_model: google/electra-small-generator |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: electra-finetuned-combo-textbook |
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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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# electra-finetuned-combo-textbook |
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This model is a fine-tuned version of [google/electra-small-generator](https://huggingface.co./google/electra-small-generator) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0465 |
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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: 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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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 3.1458 | 1.0 | 2468 | 2.8891 | |
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| 2.8707 | 2.0 | 4936 | 2.7016 | |
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| 2.7021 | 3.0 | 7404 | 2.5199 | |
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| 2.6068 | 4.0 | 9872 | 2.4902 | |
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| 2.5111 | 5.0 | 12340 | 2.4149 | |
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| 2.4193 | 6.0 | 14808 | 2.3743 | |
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| 2.383 | 7.0 | 17276 | 2.3333 | |
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| 2.3082 | 8.0 | 19744 | 2.2770 | |
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| 2.2723 | 9.0 | 22212 | 2.2606 | |
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| 2.2151 | 10.0 | 24680 | 2.2444 | |
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| 2.1869 | 11.0 | 27148 | 2.1859 | |
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| 2.1588 | 12.0 | 29616 | 2.1959 | |
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| 2.1188 | 13.0 | 32084 | 2.1490 | |
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| 2.0947 | 14.0 | 34552 | 2.1259 | |
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| 2.06 | 15.0 | 37020 | 2.1211 | |
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| 1.9976 | 16.0 | 39488 | 2.0701 | |
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| 1.9975 | 17.0 | 41956 | 2.1048 | |
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| 1.9479 | 18.0 | 44424 | 2.1072 | |
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| 1.9215 | 19.0 | 46892 | 2.0794 | |
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| 1.9426 | 20.0 | 49360 | 2.0465 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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