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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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datasets: |
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- imdb |
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model-index: |
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- name: distilbert-base-uncased-finetuned-imdb |
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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-imdb |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3811 |
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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: 64 |
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- eval_batch_size: 64 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.7046 | 1.0 | 157 | 2.4782 | |
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| 2.5679 | 2.0 | 314 | 2.4108 | |
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| 2.5028 | 3.0 | 471 | 2.4121 | |
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| 2.4825 | 4.0 | 628 | 2.3589 | |
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| 2.4593 | 5.0 | 785 | 2.4074 | |
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| 2.4294 | 6.0 | 942 | 2.3742 | |
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| 2.4258 | 7.0 | 1099 | 2.3706 | |
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| 2.4152 | 8.0 | 1256 | 2.3315 | |
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| 2.409 | 9.0 | 1413 | 2.3809 | |
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| 2.3908 | 10.0 | 1570 | 2.3394 | |
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### Framework versions |
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- Transformers 4.20.1 |
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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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