---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: cropwiz_qa_model_2
  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. -->

# cropwiz_qa_model_2

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1802

## 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: 0.0002
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 19   | 2.8276          |
| No log        | 2.0   | 38   | 2.6534          |
| No log        | 3.0   | 57   | 3.0085          |
| No log        | 4.0   | 76   | 3.1586          |
| No log        | 5.0   | 95   | 3.3162          |
| No log        | 6.0   | 114  | 3.4105          |
| No log        | 7.0   | 133  | 3.6466          |
| No log        | 8.0   | 152  | 3.6437          |
| No log        | 9.0   | 171  | 4.3458          |
| No log        | 10.0  | 190  | 4.2937          |
| No log        | 11.0  | 209  | 4.5459          |
| No log        | 12.0  | 228  | 4.1286          |
| No log        | 13.0  | 247  | 4.3959          |
| No log        | 14.0  | 266  | 3.9187          |
| No log        | 15.0  | 285  | 3.8182          |
| No log        | 16.0  | 304  | 4.3889          |
| No log        | 17.0  | 323  | 4.2887          |
| No log        | 18.0  | 342  | 4.1675          |
| No log        | 19.0  | 361  | 4.1868          |
| No log        | 20.0  | 380  | 4.1802          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1