metadata
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: finetuned-roberta-base-squad2-model-for-insurance-data
results: []
finetuned-roberta-base-squad2-model-for-insurance-data
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: 2.8120
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 22 | 2.4963 |
| No log | 2.0 | 44 | 2.4585 |
| No log | 3.0 | 66 | 2.4411 |
| No log | 4.0 | 88 | 2.4786 |
| No log | 5.0 | 110 | 2.6450 |
| No log | 6.0 | 132 | 2.6954 |
| No log | 7.0 | 154 | 2.7662 |
| No log | 8.0 | 176 | 2.8120 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3