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gpt2-moe-top1-3-partitioned-sst2
lightsout19/gpt2-moe-top1-3-partitioned-sst2
gpt2-moe-top1-3-partitioned-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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- gpt2
- Access
- Public
- Created
- Oct 17, 2024
- Updated
- Oct 17, 2024
- SHA
- 702f9a6b
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. -->
gpt2-moe-top1-3-partitioned-sst2-new
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3504
- Accuracy: 0.8624
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 |
|---|---|---|---|---|
| 0.3677 | 1.0 | 2105 | 0.3916 | 0.8303 |
| 0.2932 | 2.0 | 4210 | 0.3796 | 0.8417 |
| 0.2705 | 3.0 | 6315 | 0.3484 | 0.8693 |
| 0.2433 | 4.0 | 8420 | 0.3524 | 0.8773 |
| 0.2336 | 5.0 | 10525 | 0.3433 | 0.8670 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- gpt2
- Created
- Oct 17, 2024
- Updated
- Oct 17, 2024