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-masked
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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-masked
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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: 3.1320
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- F1: 0.1873
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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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| 0.4073 | 1.0 | 138 | 2.2614 | 0.1325 |
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| 0.0399 | 2.0 | 276 | 2.0816 | 0.1332 |
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| 0.2509 | 3.0 | 414 | 2.8722 | 0.1637 |
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| 0.0338 | 4.0 | 552 | 3.1320 | 0.1873 |
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| 0.0056 | 5.0 | 690 | 3.5202 | 0.1682 |
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| 0.0064 | 6.0 | 828 | 3.4360 | 0.1696 |
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| 0.0011 | 7.0 | 966 | 3.4185 | 0.1714 |
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| 0.0023 | 8.0 | 1104 | 3.4920 | 0.1694 |
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| 0.0011 | 9.0 | 1242 | 3.6794 | 0.1722 |
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| 0.0018 | 10.0 | 1380 | 3.6641 | 0.1702 |
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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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