finetuned_distilgpt2_sst2_negation0.01_pretrainedFalse_epochs6
This model is a fine-tuned version of distilgpt2 on the sst2 dataset. It achieves the following results on the evaluation set:
- Loss: 3.3386
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.6761 | 1.0 | 1323 | 3.2509 |
2.4709 | 2.0 | 2646 | 3.2494 |
2.3828 | 3.0 | 3969 | 3.2751 |
2.2987 | 4.0 | 5292 | 3.3006 |
2.2483 | 5.0 | 6615 | 3.3306 |
2.2195 | 6.0 | 7938 | 3.3386 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.7.0
- Datasets 2.8.0
- Tokenizers 0.13.2
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