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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_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_fever_nli
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.5463
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- F1: 0.6747
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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 | 235 | 1.2711 | 0.6671 |
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| No log | 2.0 | 470 | 1.8000 | 0.6538 |
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| 0.1341 | 3.0 | 705 | 1.6965 | 0.6770 |
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| 0.1341 | 4.0 | 940 | 1.8415 | 0.6619 |
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| 0.068 | 5.0 | 1175 | 1.7477 | 0.6682 |
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| 0.068 | 6.0 | 1410 | 2.2007 | 0.6695 |
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| 0.0435 | 7.0 | 1645 | 2.3327 | 0.6705 |
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| 0.0435 | 8.0 | 1880 | 2.3927 | 0.6729 |
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| 0.015 | 9.0 | 2115 | 2.4978 | 0.6721 |
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| 0.015 | 10.0 | 2350 | 2.5463 | 0.6747 |
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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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