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t5-moe-top1-4-sst2
lightsout19/t5-moe-top1-4-sst2
t5-moe-top1-4-sst2 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
- Oct 30, 2024
- Updated
- Oct 30, 2024
- SHA
- f9293668
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-top1-4-sst2
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5272
- Accuracy: 0.8005
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 |
|---|---|---|---|---|
| 0.4189 | 1.0 | 2105 | 0.4711 | 0.7878 |
| 0.2629 | 2.0 | 4210 | 0.5157 | 0.8073 |
| 0.1976 | 3.0 | 6315 | 0.5981 | 0.7959 |
| 0.1459 | 4.0 | 8420 | 0.6481 | 0.8028 |
| 0.1118 | 5.0 | 10525 | 0.7321 | 0.7970 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Library
- transformers
- Type
- t5
- Created
- Oct 30, 2024
- Updated
- Oct 30, 2024