Commit
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End of training
Browse files- README.md +68 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: mit
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base_model: xlm-roberta-base
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: Bangla-Twoclass-Sentiment-Analyzer
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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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# Bangla-Twoclass-Sentiment-Analyzer
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1624
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- F1: 0.9642
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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: 3e-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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- training_steps: 1800
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 0.34 | 200 | 0.3384 | 0.8842 |
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| No log | 0.68 | 400 | 0.2352 | 0.9358 |
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| 0.3357 | 1.02 | 600 | 0.1838 | 0.9458 |
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| 0.3357 | 1.36 | 800 | 0.1768 | 0.9520 |
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| 0.1794 | 1.69 | 1000 | 0.1650 | 0.9541 |
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| 0.1794 | 2.03 | 1200 | 0.1629 | 0.9609 |
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| 0.1794 | 2.37 | 1400 | 0.2278 | 0.9566 |
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| 0.1305 | 2.71 | 1600 | 0.1633 | 0.9634 |
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| 0.1305 | 3.05 | 1800 | 0.1624 | 0.9642 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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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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size 1112249713
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version https://git-lfs.github.com/spec/v1
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size 1112249713
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