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---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
datasets:
- cosmos_qa
metrics:
- accuracy
- f1
model-index:
- name: NLP_HW3_roberta
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. -->
# NLP_HW3_roberta
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the cosmos_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1807
- Accuracy: 0.6704
- F1: 0.6703
## 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
### Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
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