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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_10_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_10_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: 1.6148
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- F1: 0.8251
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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 | 0.3844 | 0.8200 |
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| 0.403 | 2.0 | 578 | 0.3623 | 0.8264 |
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| 0.403 | 3.0 | 867 | 0.4996 | 0.8258 |
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| 0.203 | 4.0 | 1156 | 0.6593 | 0.8263 |
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| 0.203 | 5.0 | 1445 | 0.7758 | 0.8242 |
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| 0.0884 | 6.0 | 1734 | 0.9154 | 0.8071 |
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| 0.0366 | 7.0 | 2023 | 1.0036 | 0.8232 |
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| 0.0366 | 8.0 | 2312 | 1.0530 | 0.8390 |
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| 0.0181 | 9.0 | 2601 | 1.2204 | 0.8260 |
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| 0.0181 | 10.0 | 2890 | 1.2125 | 0.8247 |
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| 0.008 | 11.0 | 3179 | 1.3317 | 0.8147 |
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| 0.008 | 12.0 | 3468 | 1.3047 | 0.8240 |
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| 0.0086 | 13.0 | 3757 | 1.4167 | 0.8204 |
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| 0.007 | 14.0 | 4046 | 1.4070 | 0.8225 |
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| 0.007 | 15.0 | 4335 | 1.4840 | 0.8178 |
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| 0.0032 | 16.0 | 4624 | 1.4958 | 0.8158 |
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| 0.0032 | 17.0 | 4913 | 1.5192 | 0.8201 |
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| 0.0039 | 18.0 | 5202 | 1.5993 | 0.8094 |
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| 0.0039 | 19.0 | 5491 | 1.5191 | 0.8225 |
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| 0.0044 | 20.0 | 5780 | 1.5418 | 0.8231 |
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| 0.0004 | 21.0 | 6069 | 1.5481 | 0.8263 |
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| 0.0004 | 22.0 | 6358 | 1.5461 | 0.8342 |
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| 0.0002 | 23.0 | 6647 | 1.5694 | 0.8268 |
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| 0.0002 | 24.0 | 6936 | 1.5997 | 0.8271 |
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| 0.0001 | 25.0 | 7225 | 1.6148 | 0.8251 |
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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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