End of training
Browse files- README.md +66 -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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model-index:
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- name: fine_tuning_roberta_model
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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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# fine_tuning_roberta_model
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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: 1.1741
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- Rmse: 0.6882
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rmse |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.5085 | 1.0 | 5 | 0.6268 | 0.7255 |
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| 0.2562 | 2.0 | 10 | 0.6686 | 0.7255 |
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| 0.1496 | 3.0 | 15 | 0.6989 | 0.5620 |
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| 0.0934 | 4.0 | 20 | 1.0044 | 0.6882 |
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| 0.1224 | 5.0 | 25 | 1.1798 | 0.7255 |
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| 0.0561 | 6.0 | 30 | 1.1906 | 0.6882 |
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| 0.0207 | 7.0 | 35 | 1.1774 | 0.6882 |
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| 0.0417 | 8.0 | 40 | 1.1551 | 0.6882 |
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| 0.0131 | 9.0 | 45 | 1.1628 | 0.6882 |
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| 0.0134 | 10.0 | 50 | 1.1741 | 0.6882 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cpu
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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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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