---
license: apache-2.0
base_model: asn1814/openbookqa_bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: openbookqa_bert-base-uncased_fact_retrieval_k_10
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# openbookqa_bert-base-uncased_fact_retrieval_k_10

This model is a fine-tuned version of [asn1814/openbookqa_bert-base-uncased](https://huggingface.co/asn1814/openbookqa_bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9155
- Accuracy: 0.59

## 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: 5e-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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3035        | 1.0   | 310  | 1.4148          | 0.57     |
| 0.1243        | 2.0   | 620  | 1.9743          | 0.57     |
| 0.077         | 3.0   | 930  | 2.4690          | 0.584    |
| 0.028         | 4.0   | 1240 | 2.8887          | 0.582    |
| 0.0118        | 5.0   | 1550 | 2.9155          | 0.59     |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2