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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: my_awesome_model |
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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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# my_awesome_model |
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This model is a fine-tuned version of [AIRI-Institute/gena-lm-bigbird-base-t2t](https://huggingface.co/AIRI-Institute/gena-lm-bigbird-base-t2t) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6717 |
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- Accuracy: 0.7949 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 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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| 0.6885 | 1.0 | 10 | 0.6923 | 0.4615 | |
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| 0.6785 | 2.0 | 20 | 0.6819 | 0.5385 | |
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| 0.6589 | 3.0 | 30 | 0.6930 | 0.5128 | |
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| 0.6021 | 4.0 | 40 | 0.7762 | 0.5128 | |
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| 0.5021 | 5.0 | 50 | 0.5179 | 0.7949 | |
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| 0.3407 | 6.0 | 60 | 0.4931 | 0.7436 | |
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| 0.2148 | 7.0 | 70 | 0.5146 | 0.8462 | |
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| 0.1577 | 8.0 | 80 | 0.5509 | 0.7949 | |
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| 0.167 | 9.0 | 90 | 0.5763 | 0.8462 | |
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| 0.0903 | 10.0 | 100 | 0.6717 | 0.7949 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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