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---
license: mit
tags:
- generated_from_trainer
datasets:
- crows_pairs
metrics:
- accuracy
model-index:
- name: crowspairs_trainer_roberta-large_finetuned
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: crows_pairs
type: crows_pairs
config: crows_pairs
split: test
args: crows_pairs
metrics:
- name: Accuracy
type: accuracy
value: 0.4966887417218543
---
<!-- 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. -->
# crowspairs_trainer_roberta-large_finetuned
This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the crows_pairs dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6933
- Accuracy: 0.4967
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 0.53 | 20 | 0.6942 | 0.5033 |
| No log | 1.05 | 40 | 0.6943 | 0.4967 |
| No log | 1.58 | 60 | 0.7100 | 0.4967 |
| No log | 2.11 | 80 | 0.6937 | 0.4967 |
| No log | 2.63 | 100 | 0.6937 | 0.4967 |
| No log | 3.16 | 120 | 0.6936 | 0.4967 |
| No log | 3.68 | 140 | 0.6931 | 0.5033 |
| No log | 4.21 | 160 | 0.6938 | 0.4967 |
| No log | 4.74 | 180 | 0.6933 | 0.4967 |
### Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1
- Datasets 2.6.1
- Tokenizers 0.13.1
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