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twitter-roberta-base-sentiment-latest_08112024T124327
Imkaran/twitter-roberta-base-sentiment-latest_08112024T124327
twitter-roberta-base-sentiment-latest_08112024T124327 is a text classification model from Imkaran. 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
- Nov 8, 2024
- Updated
- Nov 8, 2024
- SHA
- 5f2e8c53
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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_08112024T124327
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: 0.5159
- F1: 0.8599
- Learning Rate: 0.0
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 600
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Rate |
|---|---|---|---|---|---|
| No log | 0.9942 | 86 | 1.7858 | 0.1609 | 0.0000 |
| No log | 2.0 | 173 | 1.6525 | 0.3252 | 0.0000 |
| No log | 2.9942 | 259 | 1.3699 | 0.4597 | 0.0000 |
| No log | 4.0 | 346 | 1.1227 | 0.5431 | 0.0000 |
| No log | 4.9942 | 432 | 1.0111 | 0.5780 | 0.0000 |
| 1.3954 | 6.0 | 519 | 0.9166 | 0.6216 | 0.0000 |
| 1.3954 | 6.9942 | 605 | 0.8749 | 0.6515 | 1e-05 |
| 1.3954 | 8.0 | 692 | 0.7692 | 0.7182 | 0.0000 |
| 1.3954 | 8.9942 | 778 | 0.7127 | 0.7426 | 0.0000 |
| 1.3954 | 10.0 | 865 | 0.6492 | 0.7694 | 0.0000 |
| 1.3954 | 10.9942 | 951 | 0.6837 | 0.7554 | 0.0000 |
| 0.6615 | 12.0 | 1038 | 0.5879 | 0.8077 | 0.0000 |
| 0.6615 | 12.9942 | 1124 | 0.5643 | 0.8239 | 0.0000 |
| 0.6615 | 14.0 | 1211 | 0.5588 | 0.8279 | 0.0000 |
| 0.6615 | 14.9942 | 1297 | 0.5126 | 0.8485 | 0.0000 |
| 0.6615 | 16.0 | 1384 | 0.5192 | 0.8532 | 0.0000 |
| 0.6615 | 16.9942 | 1470 | 0.5163 | 0.8555 | 0.0000 |
| 0.29 | 18.0 | 1557 | 0.5206 | 0.8571 | 6e-07 |
| 0.29 | 18.9942 | 1643 | 0.5152 | 0.8603 | 1e-07 |
| 0.29 | 19.8844 | 1720 | 0.5159 | 0.8599 | 0.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Nov 8, 2024
- Updated
- Nov 8, 2024