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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: spell_correction_F04_LM |
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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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# spell_correction_F04_LM |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0242 |
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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: 1e-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: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 269 | 0.3354 | |
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| 1.9104 | 2.0 | 538 | 0.0604 | |
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| 1.9104 | 3.0 | 807 | 0.0405 | |
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| 0.0433 | 4.0 | 1076 | 0.0337 | |
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| 0.0433 | 5.0 | 1345 | 0.0285 | |
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| 0.0164 | 6.0 | 1614 | 0.0263 | |
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| 0.0164 | 7.0 | 1883 | 0.0268 | |
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| 0.0099 | 8.0 | 2152 | 0.0244 | |
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| 0.0099 | 9.0 | 2421 | 0.0262 | |
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| 0.0065 | 10.0 | 2690 | 0.0264 | |
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| 0.0065 | 11.0 | 2959 | 0.0255 | |
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| 0.0044 | 12.0 | 3228 | 0.0243 | |
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| 0.0044 | 13.0 | 3497 | 0.0262 | |
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| 0.0037 | 14.0 | 3766 | 0.0247 | |
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| 0.0035 | 15.0 | 4035 | 0.0233 | |
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| 0.0035 | 16.0 | 4304 | 0.0230 | |
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| 0.0031 | 17.0 | 4573 | 0.0242 | |
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| 0.0031 | 18.0 | 4842 | 0.0223 | |
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| 0.0029 | 19.0 | 5111 | 0.0226 | |
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| 0.0029 | 20.0 | 5380 | 0.0245 | |
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| 0.0023 | 21.0 | 5649 | 0.0249 | |
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| 0.0023 | 22.0 | 5918 | 0.0244 | |
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| 0.0023 | 23.0 | 6187 | 0.0238 | |
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| 0.0023 | 24.0 | 6456 | 0.0237 | |
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| 0.0025 | 25.0 | 6725 | 0.0242 | |
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| 0.0025 | 26.0 | 6994 | 0.0239 | |
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| 0.0017 | 27.0 | 7263 | 0.0236 | |
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| 0.0018 | 28.0 | 7532 | 0.0242 | |
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| 0.0018 | 29.0 | 7801 | 0.0240 | |
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| 0.0016 | 30.0 | 8070 | 0.0242 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 1.12.1+cu102 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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