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twitter-roberta-base-sentiment-latest_18122024T231653
khilan-crest/twitter-roberta-base-sentiment-latest_18122024T231653
twitter-roberta-base-sentiment-latest_18122024T231653 is a text classification model from khilan-crest. 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
- Dec 18, 2024
- Updated
- Dec 18, 2024
- SHA
- 9b00b7f8
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Base models
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. -->
twitter-roberta-base-sentiment-latest_18122024T231653
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0887
- F1: 0.5840
- Learning Rate: 1e-07
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Rate |
|---|---|---|---|---|---|
| No log | 1.0 | 315 | 1.0887 | 0.5840 | 1e-07 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Dec 18, 2024
- Updated
- Dec 18, 2024