---
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