---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: cs605-nlp-assignment-2-roberta-base
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# cs605-nlp-assignment-2-roberta-base

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1088
- Accuracy: 0.7023

## 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: 3.2723062543456794e-05
- train_batch_size: 64
- eval_batch_size: 16
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 187  | 0.5811          | 0.6614   |
| No log        | 2.0   | 374  | 0.5568          | 0.6889   |
| 0.5401        | 3.0   | 561  | 0.5805          | 0.6933   |
| 0.5401        | 4.0   | 748  | 0.6222          | 0.6996   |
| 0.5401        | 5.0   | 935  | 0.7495          | 0.7026   |
| 0.3002        | 6.0   | 1122 | 0.8180          | 0.7047   |
| 0.3002        | 7.0   | 1309 | 0.9720          | 0.6976   |
| 0.3002        | 8.0   | 1496 | 0.9912          | 0.6986   |
| 0.1454        | 9.0   | 1683 | 1.0774          | 0.6983   |
| 0.1454        | 10.0  | 1870 | 1.1088          | 0.7023   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1