metadata
tags:
- generated_from_trainer
datasets:
- bigbench
metrics:
- accuracy
model-index:
- name: entailedpolarity_-bert-base-uncased-a2b1l0.001
results: []
entailedpolarity_-bert-base-uncased-a2b1l0.001
This model was trained from scratch on the bigbench dataset. It achieves the following results on the evaluation set:
- Loss: 13.3548
- Accuracy: 0.875
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.67 | 1 | 17.4094 | 0.2083 |
| No log | 2.0 | 3 | 15.8009 | 0.75 |
| No log | 2.67 | 4 | 15.3479 | 0.75 |
| No log | 4.0 | 6 | 14.4120 | 0.7917 |
| No log | 4.67 | 7 | 14.0308 | 0.7917 |
| No log | 6.0 | 9 | 13.0724 | 0.7917 |
| No log | 6.67 | 10 | 12.9712 | 0.7917 |
| No log | 8.0 | 12 | 12.8702 | 0.7917 |
| No log | 8.67 | 13 | 12.8670 | 0.7917 |
| No log | 10.0 | 15 | 13.0790 | 0.7917 |
| No log | 10.67 | 16 | 13.1837 | 0.8333 |
| No log | 12.0 | 18 | 13.2997 | 0.875 |
| No log | 12.67 | 19 | 13.3246 | 0.875 |
| No log | 13.33 | 20 | 13.3548 | 0.875 |
Framework versions
- Transformers 4.37.0
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.2