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: 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: Roberta-classweight-Sentiment-identifier
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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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# Roberta-classweight-Sentiment-identifier
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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: 0.8158
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- F1: 0.6592
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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: 5
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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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| 0.8212 | 0.5 | 500 | 1.1575 | 0.2482 |
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| 0.8156 | 1.0 | 1000 | 0.8164 | 0.6421 |
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| 0.8291 | 1.5 | 1500 | 0.8158 | 0.6592 |
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| 0.8044 | 2.01 | 2000 | 0.8315 | 0.6372 |
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| 0.7937 | 2.51 | 2500 | 0.8362 | 0.6618 |
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| 0.8094 | 3.01 | 3000 | 0.8188 | 0.6703 |
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| 0.833 | 3.51 | 3500 | 0.8447 | 0.6650 |
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| 0.8259 | 4.01 | 4000 | 0.8478 | 0.6631 |
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| 0.8374 | 4.51 | 4500 | 0.8255 | 0.6626 |
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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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size 498660721
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version https://git-lfs.github.com/spec/v1
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size 498660721
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