End of training
Browse files- README.md +66 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment
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tags:
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- generated_from_trainer
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model-index:
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- name: twitter-xlm-roberta-base-sentiment
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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-xlm-roberta-base-sentiment
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This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6716
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- Rmse: 0.7078
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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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| 0.7639 | 1.0 | 500 | 0.7273 | 0.7639 |
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| 0.6884 | 2.0 | 1000 | 0.6900 | 0.7580 |
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| 0.6088 | 3.0 | 1500 | 0.6716 | 0.7078 |
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| 0.4964 | 4.0 | 2000 | 0.6728 | 0.6826 |
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| 0.3749 | 5.0 | 2500 | 0.8286 | 0.6753 |
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| 0.2813 | 6.0 | 3000 | 0.9432 | 0.6968 |
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| 0.2173 | 7.0 | 3500 | 1.2781 | 0.7235 |
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| 0.1764 | 8.0 | 4000 | 1.3567 | 0.7221 |
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| 0.122 | 9.0 | 4500 | 1.5207 | 0.7004 |
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| 0.0946 | 10.0 | 5000 | 1.5687 | 0.6996 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 1112253230
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version https://git-lfs.github.com/spec/v1
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size 1112253230
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