---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- reclor
metrics:
- accuracy
model-index:
- name: my_awesome_reclor_model_test
  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. -->

# my_awesome_reclor_model_test

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the reclor dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4745
- Accuracy: 0.486

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 290  | 1.2555          | 0.422    |
| 1.2285        | 2.0   | 580  | 1.2556          | 0.48     |
| 1.2285        | 3.0   | 870  | 1.4745          | 0.486    |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.10.0
- Tokenizers 0.13.2