---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert_beekeeping_QandA_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert_beekeeping_QandA_model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1106

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 54   | 0.4174          |
| No log        | 2.0   | 108  | 0.1275          |
| No log        | 3.0   | 162  | 0.1516          |
| No log        | 4.0   | 216  | 0.1016          |
| No log        | 5.0   | 270  | 0.1128          |
| No log        | 6.0   | 324  | 0.1058          |
| No log        | 7.0   | 378  | 0.0903          |
| No log        | 8.0   | 432  | 0.1027          |
| No log        | 9.0   | 486  | 0.1285          |
| 0.369         | 10.0  | 540  | 0.1211          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1