entailedpolarity_-gpt2-a2b2l0.001
This model was trained from scratch on the bigbench dataset.
It achieves the following results on the evaluation set:
- Loss: 8.8419
- Accuracy: 0.2083
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 | 1.0 | 6 | 8.8417 | 0.2083 |
| No log | 2.0 | 12 | 8.8339 | 0.2083 |
| No log | 3.0 | 18 | 7.9904 | 0.2917 |
| No log | 4.0 | 24 | 4.6119 | 0.75 |
| No log | 5.0 | 30 | 8.8414 | 0.2083 |
| No log | 6.0 | 36 | 8.8424 | 0.2083 |
| No log | 7.0 | 42 | 8.8427 | 0.2083 |
| No log | 8.0 | 48 | 8.8417 | 0.2083 |
| No log | 9.0 | 54 | 8.8450 | 0.2083 |
| No log | 10.0 | 60 | 8.8422 | 0.2083 |
| No log | 11.0 | 66 | 8.8429 | 0.2083 |
| No log | 12.0 | 72 | 8.8432 | 0.2083 |
| No log | 13.0 | 78 | 8.8430 | 0.2083 |
| No log | 14.0 | 84 | 8.8415 | 0.2083 |
| No log | 15.0 | 90 | 8.8431 | 0.2083 |
| No log | 16.0 | 96 | 8.8425 | 0.2083 |
| No log | 17.0 | 102 | 8.8431 | 0.2083 |
| No log | 18.0 | 108 | 8.8454 | 0.2083 |
| No log | 19.0 | 114 | 8.8430 | 0.2083 |
| No log | 20.0 | 120 | 8.8419 | 0.2083 |
Framework versions
- Transformers 4.37.0
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.2
