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---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: shipping_qa_model_30_04_24
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# shipping_qa_model_30_04_24
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8070
## 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: 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: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 28 | 5.7792 |
| No log | 2.0 | 56 | 5.4899 |
| No log | 3.0 | 84 | 5.3744 |
| No log | 4.0 | 112 | 5.2672 |
| No log | 5.0 | 140 | 5.0586 |
| No log | 6.0 | 168 | 4.8332 |
| No log | 7.0 | 196 | 4.7809 |
| No log | 8.0 | 224 | 4.7767 |
| No log | 9.0 | 252 | 4.6233 |
| No log | 10.0 | 280 | 4.5430 |
| No log | 11.0 | 308 | 4.4714 |
| No log | 12.0 | 336 | 4.3689 |
| No log | 13.0 | 364 | 4.3410 |
| No log | 14.0 | 392 | 4.2705 |
| No log | 15.0 | 420 | 4.2760 |
| No log | 16.0 | 448 | 4.1572 |
| No log | 17.0 | 476 | 4.1465 |
| 4.5743 | 18.0 | 504 | 4.0708 |
| 4.5743 | 19.0 | 532 | 4.0196 |
| 4.5743 | 20.0 | 560 | 4.0183 |
| 4.5743 | 21.0 | 588 | 3.9759 |
| 4.5743 | 22.0 | 616 | 3.9140 |
| 4.5743 | 23.0 | 644 | 3.9308 |
| 4.5743 | 24.0 | 672 | 3.8611 |
| 4.5743 | 25.0 | 700 | 3.8159 |
| 4.5743 | 26.0 | 728 | 3.8126 |
| 4.5743 | 27.0 | 756 | 3.8272 |
| 4.5743 | 28.0 | 784 | 3.8185 |
| 4.5743 | 29.0 | 812 | 3.8074 |
| 4.5743 | 30.0 | 840 | 3.8070 |
### Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.2+cu118
- Datasets 2.18.0
- Tokenizers 0.19.1
|