---
library_name: transformers
license: mit
base_model: FacebookAI/roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test-glue
  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. -->

# test-glue

This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on OpenbookQA dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1829
- Accuracy: 0.6480

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 77
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 155  | 1.2222          | 0.4680   |
| No log        | 2.0   | 310  | 1.0994          | 0.5320   |
| No log        | 3.0   | 465  | 1.0083          | 0.5960   |
| 1.0791        | 4.0   | 620  | 1.0442          | 0.6040   |
| 1.0791        | 5.0   | 775  | 1.0182          | 0.6320   |
| 1.0791        | 6.0   | 930  | 1.0570          | 0.6480   |
| 0.5044        | 7.0   | 1085 | 1.1399          | 0.6480   |
| 0.5044        | 8.0   | 1240 | 1.1829          | 0.6480   |


### Framework versions

- Transformers 4.52.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.5.2.dev0
- Tokenizers 0.21.1