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roberta-large-finetuned-GLUE-RTE
du33169/roberta-large-finetuned-GLUE-RTE
roberta-large-finetuned-GLUE-RTE is a machine learning model from du33169. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- roberta
- Access
- Public
- Created
- Sep 24, 2024
- Updated
- Sep 24, 2024
- SHA
- d1523087
Base models
Datasets
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. -->
RTE
This model is a fine-tuned version of FacebookAI/roberta-large on the GLUE RTE dataset. It achieves the following results on the evaluation set:
- Loss: 0.8489
- Accuracy: 0.8231
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| No log | 1.0 | 39 | 0.5271 | 0.6898 |
| No log | 2.0 | 78 | 0.7220 | 0.5576 |
| No log | 3.0 | 117 | 0.7798 | 0.4923 |
| No log | 4.0 | 156 | 0.7942 | 0.5525 |
| No log | 5.0 | 195 | 0.7762 | 0.7992 |
| No log | 6.0 | 234 | 0.8051 | 0.7044 |
| No log | 7.0 | 273 | 0.7204 | 0.8087 |
| No log | 8.0 | 312 | 0.8489 | 0.8231 |
| No log | 9.0 | 351 | 0.8779 | 0.8123 |
| No log | 10.0 | 390 | 0.9375 | 0.8159 |
Framework versions
- Transformers 4.43.3
- Pytorch 1.11.0+cu113
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- roberta
- Languages
- en
- Created
- Sep 24, 2024
- Updated
- Sep 24, 2024