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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: distilbert-base-uncased-finetuned-osdg |
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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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# distilbert-base-uncased-finetuned-osdg |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5699 |
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- Acc: 0.8533 |
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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: 6e-06 |
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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: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Acc | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.8138 | 1.0 | 509 | 0.7623 | 0.8157 | |
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| 0.6972 | 2.0 | 1018 | 0.6599 | 0.8312 | |
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| 0.5908 | 3.0 | 1527 | 0.6084 | 0.8428 | |
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| 0.5674 | 4.0 | 2036 | 0.5922 | 0.8467 | |
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| 0.5176 | 5.0 | 2545 | 0.5807 | 0.8533 | |
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| 0.4818 | 6.0 | 3054 | 0.5695 | 0.8556 | |
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| 0.4631 | 7.0 | 3563 | 0.5699 | 0.8533 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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