Commit
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End of training
Browse files- README.md +69 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: gyesibiney/covid-tweet-sentimental-Analysis-roberta
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tags:
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- generated_from_trainer
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model-index:
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- name: test_trainer
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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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# test_trainer
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This model is a fine-tuned version of [gyesibiney/covid-tweet-sentimental-Analysis-roberta](https://huggingface.co/gyesibiney/covid-tweet-sentimental-Analysis-roberta) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5256
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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: 8
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.6341 | 0.2 | 500 | 0.6156 |
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| 0.5846 | 0.4 | 1000 | 0.6548 |
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| 0.5447 | 0.6 | 1500 | 0.5651 |
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| 0.523 | 0.8 | 2000 | 0.4769 |
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| 0.5087 | 1.0 | 2500 | 0.4937 |
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| 0.4791 | 1.2 | 3000 | 0.4567 |
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| 0.4681 | 1.41 | 3500 | 0.4609 |
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| 0.4255 | 1.61 | 4000 | 0.5214 |
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| 0.4474 | 1.81 | 4500 | 0.5182 |
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| 0.4271 | 2.01 | 5000 | 0.4983 |
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| 0.4008 | 2.21 | 5500 | 0.4944 |
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| 0.384 | 2.41 | 6000 | 0.4585 |
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| 0.3629 | 2.61 | 6500 | 0.5462 |
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| 0.3695 | 2.81 | 7000 | 0.5256 |
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### Framework versions
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- Transformers 4.33.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
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size 498660721
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version https://git-lfs.github.com/spec/v1
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size 498660721
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