transformers tensorboard safetensors bert multiple-choice generated_from_trainer base_model:asn1814/openbookqa_bert-base-uncased license:apache-2.0 endpoints_compatible region:us
---
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
  results: []
---

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# openbookqa_bert-base-uncased_fact_retrieval

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: 2.9008
- Accuracy: 0.57

## 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: 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2123        | 1.0   | 155  | 1.7825          | 0.554    |
| 0.096         | 2.0   | 310  | 2.1296          | 0.57     |
| 0.0516        | 3.0   | 465  | 2.4470          | 0.566    |
| 0.0206        | 4.0   | 620  | 2.7527          | 0.56     |
| 0.0135        | 5.0   | 775  | 2.9008          | 0.57     |


### Framework versions

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