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update model card README.md
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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: distilbert-base-uncased_fold_1_binary_v1
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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_fold_1_binary_v1
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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: 1.7296
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- F1: 0.8038
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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: 16
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- eval_batch_size: 16
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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: 25
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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 | 288 | 0.4152 | 0.7903 |
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| 0.3956 | 2.0 | 576 | 0.4037 | 0.8083 |
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| 0.3956 | 3.0 | 864 | 0.5601 | 0.7996 |
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| 0.181 | 4.0 | 1152 | 0.8571 | 0.8023 |
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| 0.181 | 5.0 | 1440 | 0.9704 | 0.7822 |
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| 0.0935 | 6.0 | 1728 | 0.9509 | 0.8074 |
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| 0.0418 | 7.0 | 2016 | 1.1813 | 0.7736 |
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| 0.0418 | 8.0 | 2304 | 1.2619 | 0.7859 |
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| 0.0134 | 9.0 | 2592 | 1.4275 | 0.7863 |
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| 0.0134 | 10.0 | 2880 | 1.4035 | 0.8019 |
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| 0.0127 | 11.0 | 3168 | 1.4903 | 0.7897 |
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| 0.0127 | 12.0 | 3456 | 1.5853 | 0.7919 |
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| 0.0061 | 13.0 | 3744 | 1.6628 | 0.7957 |
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| 0.0058 | 14.0 | 4032 | 1.5736 | 0.8060 |
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| 0.0058 | 15.0 | 4320 | 1.6226 | 0.7929 |
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| 0.0065 | 16.0 | 4608 | 1.6395 | 0.8010 |
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| 0.0065 | 17.0 | 4896 | 1.6556 | 0.7993 |
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| 0.002 | 18.0 | 5184 | 1.7075 | 0.8030 |
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| 0.002 | 19.0 | 5472 | 1.6925 | 0.7964 |
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| 0.0058 | 20.0 | 5760 | 1.6511 | 0.8030 |
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| 0.0013 | 21.0 | 6048 | 1.6135 | 0.8037 |
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| 0.0013 | 22.0 | 6336 | 1.6739 | 0.8028 |
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| 0.0001 | 23.0 | 6624 | 1.7014 | 0.8109 |
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| 0.0001 | 24.0 | 6912 | 1.7015 | 0.8045 |
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| 0.002 | 25.0 | 7200 | 1.7296 | 0.8038 |
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### Framework versions
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- Transformers 4.21.0
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- Pytorch 1.12.0+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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