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-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-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: 0.1585
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- F1: 0.8205
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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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| 0.321 | 1.0 | 114 | 0.2044 | 0.6280 |
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| 0.3749 | 2.0 | 228 | 0.1678 | 0.8016 |
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| 0.7008 | 3.0 | 342 | 0.1692 | 0.7832 |
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| 0.0181 | 4.0 | 456 | 0.1585 | 0.8205 |
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| 0.0513 | 5.0 | 570 | 0.1855 | 0.8022 |
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| 0.0036 | 6.0 | 684 | 0.2107 | 0.7980 |
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| 0.0396 | 7.0 | 798 | 0.2529 | 0.8017 |
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| 0.0051 | 8.0 | 912 | 0.2397 | 0.7894 |
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| 0.0062 | 9.0 | 1026 | 0.2698 | 0.7897 |
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| 0.002 | 10.0 | 1140 | 0.2713 | 0.7878 |
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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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