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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_3_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_3_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: 1.9405
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- F1: 0.7878
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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 | 289 | 0.4630 | 0.7897 |
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| 0.3954 | 2.0 | 578 | 0.4549 | 0.7936 |
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| 0.3954 | 3.0 | 867 | 0.6527 | 0.7868 |
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| 0.1991 | 4.0 | 1156 | 0.7510 | 0.7951 |
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| 0.1991 | 5.0 | 1445 | 0.9327 | 0.8000 |
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| 0.095 | 6.0 | 1734 | 1.0974 | 0.7859 |
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| 0.0347 | 7.0 | 2023 | 1.2692 | 0.7919 |
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| 0.0347 | 8.0 | 2312 | 1.3718 | 0.7921 |
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| 0.0105 | 9.0 | 2601 | 1.4679 | 0.7999 |
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| 0.0105 | 10.0 | 2890 | 1.5033 | 0.8070 |
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| 0.0079 | 11.0 | 3179 | 1.6074 | 0.8008 |
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| 0.0079 | 12.0 | 3468 | 1.6921 | 0.7904 |
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| 0.0053 | 13.0 | 3757 | 1.7079 | 0.7945 |
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| 0.0054 | 14.0 | 4046 | 1.8361 | 0.7887 |
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| 0.0054 | 15.0 | 4335 | 1.7695 | 0.7873 |
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| 0.0046 | 16.0 | 4624 | 1.7934 | 0.7917 |
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| 0.0046 | 17.0 | 4913 | 1.8036 | 0.8008 |
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| 0.0064 | 18.0 | 5202 | 1.8780 | 0.7888 |
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| 0.0064 | 19.0 | 5491 | 1.8943 | 0.7923 |
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| 0.0032 | 20.0 | 5780 | 1.8694 | 0.7905 |
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| 0.002 | 21.0 | 6069 | 1.9348 | 0.7869 |
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| 0.002 | 22.0 | 6358 | 1.9578 | 0.7804 |
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| 0.0036 | 23.0 | 6647 | 1.9438 | 0.7827 |
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| 0.0036 | 24.0 | 6936 | 1.9386 | 0.7878 |
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| 0.0011 | 25.0 | 7225 | 1.9405 | 0.7878 |
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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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