End of training
Browse files- README.md +78 -0
- model.safetensors +1 -1
README.md
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---
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base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
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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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model-index:
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- name: twitter-roberta-base-sentiment-latest-clickbait-task1-20-epoch-post
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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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# twitter-roberta-base-sentiment-latest-clickbait-task1-20-epoch-post
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This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6694
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- Accuracy: 0.7175
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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: 16
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- eval_batch_size: 16
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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: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 200 | 0.7795 | 0.655 |
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| No log | 2.0 | 400 | 0.8334 | 0.6925 |
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| 0.7177 | 3.0 | 600 | 0.8965 | 0.6925 |
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| 0.7177 | 4.0 | 800 | 1.0902 | 0.7075 |
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| 0.272 | 5.0 | 1000 | 1.3332 | 0.6875 |
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| 0.272 | 6.0 | 1200 | 1.7338 | 0.6925 |
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| 0.272 | 7.0 | 1400 | 2.0445 | 0.675 |
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| 0.0924 | 8.0 | 1600 | 2.1525 | 0.7 |
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| 0.0924 | 9.0 | 1800 | 2.2859 | 0.69 |
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| 0.0515 | 10.0 | 2000 | 2.3061 | 0.7175 |
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| 0.0515 | 11.0 | 2200 | 2.3235 | 0.71 |
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| 0.0515 | 12.0 | 2400 | 2.5036 | 0.69 |
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| 0.0213 | 13.0 | 2600 | 2.5110 | 0.7 |
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| 0.0213 | 14.0 | 2800 | 2.5487 | 0.7 |
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| 0.0162 | 15.0 | 3000 | 2.5632 | 0.7125 |
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| 0.0162 | 16.0 | 3200 | 2.5690 | 0.7075 |
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| 0.0162 | 17.0 | 3400 | 2.6913 | 0.685 |
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| 0.0085 | 18.0 | 3600 | 2.7971 | 0.7 |
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| 0.0085 | 19.0 | 3800 | 2.7057 | 0.715 |
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| 0.0048 | 20.0 | 4000 | 2.6694 | 0.7175 |
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### Framework versions
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- Transformers 4.44.0.dev0
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- Pytorch 2.4.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 498615900
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version https://git-lfs.github.com/spec/v1
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size 498615900
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