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finetuned_sentence_itr0_2e-05_all_01_03_2022-02_53_51
ali2066/finetuned_sentence_itr0_2e-05_all_01_03_2022-02_53_51
finetuned_sentence_itr0_2e-05_all_01_03_2022-02_53_51 is a text classification model from ali2066. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Mar 1, 2022
- SHA
- 68d7230d
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
finetuned_sentence_itr0_2e-05_all_01_03_2022-02_53_51
This model is a fine-tuned version of siebert/sentiment-roberta-large-english on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4563
- Accuracy: 0.8440
- F1: 0.8954
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 195 | 0.4302 | 0.8073 | 0.8754 |
| No log | 2.0 | 390 | 0.3970 | 0.8220 | 0.8875 |
| 0.3703 | 3.0 | 585 | 0.3972 | 0.8402 | 0.8934 |
| 0.3703 | 4.0 | 780 | 0.4945 | 0.8390 | 0.8935 |
| 0.3703 | 5.0 | 975 | 0.5354 | 0.8305 | 0.8898 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.18.0
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Mar 2, 2022
- Updated
- Mar 1, 2022