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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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- accuracy
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- f1
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model-index:
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- name: distilbert-base-uncased-finetuned-sexism-2
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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-finetuned-sexism-2
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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: 1.4929
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- Accuracy: 0.8412
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- F1: 0.8399
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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: 8
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- eval_batch_size: 8
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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 | Accuracy | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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| 0.2577 | 1.0 | 1876 | 0.6097 | 0.8401 | 0.8379 |
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| 0.1913 | 2.0 | 3752 | 0.7169 | 0.8289 | 0.8307 |
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| 0.1416 | 3.0 | 5628 | 0.9146 | 0.8412 | 0.8355 |
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| 0.0876 | 4.0 | 7504 | 1.0822 | 0.8358 | 0.8358 |
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| 0.0518 | 5.0 | 9380 | 1.1389 | 0.8449 | 0.8437 |
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| 0.0436 | 6.0 | 11256 | 1.2191 | 0.8406 | 0.8390 |
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| 0.0254 | 7.0 | 13132 | 1.3782 | 0.8348 | 0.8343 |
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| 0.0176 | 8.0 | 15008 | 1.5073 | 0.8385 | 0.8368 |
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| 0.0151 | 9.0 | 16884 | 1.4749 | 0.8374 | 0.8365 |
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| 0.0068 | 10.0 | 18760 | 1.4929 | 0.8412 | 0.8399 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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