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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: xlnet-large_lemon-spell_5k_3_p3 |
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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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# xlnet-large_lemon-spell_5k_3_p3 |
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This model is a fine-tuned version of [model_saves/xlnet-large_lemon-spell_5k_3_p2](https://huggingface.co/model_saves/xlnet-large_lemon-spell_5k_3_p2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4634 |
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- Accuracy: 0.9396 |
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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: 128 |
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- eval_batch_size: 128 |
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- seed: 62 |
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- distributed_type: multi-GPU |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- num_epochs: 15.0 |
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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 | 268 | 0.4405 | 0.9392 | |
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| No log | 2.0 | 536 | 0.4634 | 0.9396 | |
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| No log | 3.0 | 804 | 0.4988 | 0.9391 | |
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| 0.2992 | 4.0 | 1072 | 0.5409 | 0.9394 | |
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| 0.2992 | 5.0 | 1340 | 0.5943 | 0.9393 | |
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### Framework versions |
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- Transformers 4.21.0.dev0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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