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-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-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: 0.1717
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- F1: 0.8014
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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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| 0.3845 | 1.0 | 114 | 0.2296 | 0.6101 |
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| 0.1412 | 2.0 | 228 | 0.1759 | 0.7486 |
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| 0.0215 | 3.0 | 342 | 0.2275 | 0.7439 |
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| 0.0506 | 4.0 | 456 | 0.2064 | 0.7651 |
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| 0.0366 | 5.0 | 570 | 0.1717 | 0.8014 |
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| 0.2428 | 6.0 | 684 | 0.1955 | 0.7878 |
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| 0.005 | 7.0 | 798 | 0.2297 | 0.7839 |
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| 0.003 | 8.0 | 912 | 0.2428 | 0.8005 |
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| 0.0037 | 9.0 | 1026 | 0.2577 | 0.7884 |
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| 0.0099 | 10.0 | 1140 | 0.2641 | 0.7957 |
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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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-
oid sha256:
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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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