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README.md
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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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model-index:
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- name: destilbert_uncased_fever_nli
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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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# 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 an unknown dataset.
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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
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