Commit
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End of training
Browse files- README.md +67 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: mit
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base_model: roberta-base
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tags:
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- generated_from_trainer
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model-index:
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- name: sentiment_analysis
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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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# sentiment_analysis
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8114
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- F1 Score: 0.7322
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 Score |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.7577 | 1.0 | 1000 | 0.7996 | 0.6603 |
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| 0.7168 | 2.0 | 2000 | 0.7362 | 0.6627 |
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| 0.7201 | 3.0 | 3000 | 0.7231 | 0.6675 |
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| 0.6752 | 4.0 | 4000 | 0.7051 | 0.6970 |
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| 0.6374 | 5.0 | 5000 | 0.7167 | 0.7007 |
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| 0.6288 | 6.0 | 6000 | 0.7278 | 0.7193 |
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| 0.5579 | 7.0 | 7000 | 0.8242 | 0.7190 |
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| 0.5485 | 8.0 | 8000 | 0.7587 | 0.7291 |
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| 0.5309 | 9.0 | 9000 | 0.7876 | 0.7269 |
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| 0.4767 | 10.0 | 10000 | 0.8114 | 0.7322 |
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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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