End of training
Browse files- README.md +69 -0
- pytorch_model.bin +1 -1
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: media-bias-ukraine-dataset-all-minus-ukraine-removed
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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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# media-bias-ukraine-dataset-all-minus-ukraine-removed
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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: 2.9273
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- F1: 0.2174
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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: 32
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- eval_batch_size: 32
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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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- mixed_precision_training: Native AMP
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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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| 0.0857 | 1.0 | 138 | 2.3587 | 0.1003 |
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| 0.003 | 2.0 | 276 | 2.6847 | 0.0840 |
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| 0.0167 | 3.0 | 414 | 2.8767 | 0.1619 |
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| 0.0022 | 4.0 | 552 | 2.3012 | 0.1862 |
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| 0.0019 | 5.0 | 690 | 2.7714 | 0.1961 |
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| 0.001 | 6.0 | 828 | 2.7623 | 0.2015 |
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| 0.6706 | 7.0 | 966 | 2.8243 | 0.1980 |
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| 0.2259 | 8.0 | 1104 | 2.7106 | 0.2151 |
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| 0.0013 | 9.0 | 1242 | 2.9273 | 0.2174 |
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| 0.0116 | 10.0 | 1380 | 2.9458 | 0.2101 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
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size 267858605
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version https://git-lfs.github.com/spec/v1
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size 267858605
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