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: 4.2379
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 | 90 | 1.6912 |
| 1.8817 | 2.0 | 180 | 1.7054 |
| 1.3233 | 3.0 | 270 | 1.6376 |
| 0.9894 | 4.0 | 360 | 2.1005 |
| 0.7526 | 5.0 | 450 | 2.7104 |
| 0.6553 | 6.0 | 540 | 2.2928 |
| 0.5512 | 7.0 | 630 | 2.6380 |
| 0.4148 | 8.0 | 720 | 2.8010 |
| 0.2964 | 9.0 | 810 | 3.1167 |
| 0.2538 | 10.0 | 900 | 3.5313 |
| 0.2538 | 11.0 | 990 | 3.6620 |
| 0.1918 | 12.0 | 1080 | 4.1138 |
| 0.1363 | 13.0 | 1170 | 4.0901 |
| 0.1606 | 14.0 | 1260 | 4.2286 |
| 0.1162 | 15.0 | 1350 | 4.2379 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.11.0+cu113
- Datasets 2.8.0
- Tokenizers 0.13.2