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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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metrics: |
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- f1 |
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base_model: distilbert-base-uncased |
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model-index: |
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- name: destilbert_uncased_fever_nli |
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results: [] |
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datasets: |
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- fever |
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language: |
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- en |
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library_name: transformers |
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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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# destilbert_uncased_fever_nli |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on a subset of [fever_nli](https://huggingface.co/datasets/pietrolesci/nli_fever) dataset by using the first 7.5k datapoints per each label from the training split. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1829 |
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- F1: 0.7045 |
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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: 0.0001 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 352 | 0.7894 | 0.7029 | |
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| 0.5462 | 2.0 | 704 | 0.9908 | 0.7097 | |
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| 0.2922 | 3.0 | 1056 | 1.0831 | 0.6924 | |
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| 0.2922 | 4.0 | 1408 | 1.2833 | 0.7044 | |
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| 0.142 | 5.0 | 1760 | 1.4096 | 0.7008 | |
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| 0.0695 | 6.0 | 2112 | 1.5585 | 0.7013 | |
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| 0.0695 | 7.0 | 2464 | 1.7262 | 0.7015 | |
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| 0.0434 | 8.0 | 2816 | 2.0138 | 0.7016 | |
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| 0.0204 | 9.0 | 3168 | 2.0912 | 0.7012 | |
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| 0.011 | 10.0 | 3520 | 2.1829 | 0.7045 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
