bert-base-uncased-finetuned-cosmos
This model is a fine-tuned version of bert-base-uncased on the cosmos_qa dataset. It achieves the following results on the evaluation set:
- Loss: 3.1272
- Accuracy: 0.5752
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0246 | 1.0 | 6316 | 1.0667 | 0.5715 |
| 0.632 | 2.0 | 12632 | 1.5163 | 0.5926 |
| 0.2341 | 3.0 | 18948 | 3.1272 | 0.5752 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.1+cu121
- Datasets 2.12.0
- Tokenizers 0.13.2
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Model tree for Benlitzen43/bert-base-uncased-finetuned-cosmos
Base model
google-bert/bert-base-uncased