metadata
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: roberta-base-squad2-coffee20230108
results: []
roberta-base-squad2-coffee20230108
This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9218
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 3 | 1.2587 |
| No log | 2.0 | 6 | 1.2307 |
| No log | 3.0 | 9 | 1.1921 |
| No log | 4.0 | 12 | 1.1438 |
| No log | 5.0 | 15 | 1.1002 |
| No log | 6.0 | 18 | 1.0606 |
| No log | 7.0 | 21 | 1.0239 |
| No log | 8.0 | 24 | 0.9841 |
| No log | 9.0 | 27 | 0.9559 |
| No log | 10.0 | 30 | 0.9304 |
| No log | 11.0 | 33 | 0.9123 |
| No log | 12.0 | 36 | 0.9023 |
| No log | 13.0 | 39 | 0.9010 |
| No log | 14.0 | 42 | 0.9052 |
| No log | 15.0 | 45 | 0.9218 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.11.0+cu113
- Datasets 2.8.0
- Tokenizers 0.13.2