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t5-moe-top2-4-mrpc
lightsout19/t5-moe-top2-4-mrpc
t5-moe-top2-4-mrpc is a machine learning model from lightsout19. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Nov 7, 2024
- Updated
- Nov 7, 2024
- SHA
- 491c4fa0
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. -->
t5-moe-top2-4-mrpc
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5922
- Accuracy: 0.7010
- F1: 0.8152
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: 32
- eval_batch_size: 32
- 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 | 115 | 0.5887 | 0.7010 | 0.8157 |
| No log | 2.0 | 230 | 0.5858 | 0.6985 | 0.8150 |
| No log | 3.0 | 345 | 0.6416 | 0.6495 | 0.7255 |
| No log | 4.0 | 460 | 0.6990 | 0.6642 | 0.7420 |
| 0.5351 | 5.0 | 575 | 0.7986 | 0.6520 | 0.7321 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Library
- transformers
- Type
- t5
- Created
- Nov 7, 2024
- Updated
- Nov 7, 2024