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# 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

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["crows_pairs"], "metrics": ["accuracy"], "model-index": [{"name": "crowspairs_trainer_roberta-large_finetuned", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "crows_pairs", "type": "crows_pairs", "config": "crows_pairs", "split": "test", "args": "crows_pairs"}, "metrics": [{"type": "accuracy", "value": 0.4966887417218543, "name": "Accuracy"}]}]}]}
transformers pytorch roberta text-classification generated_from_trainer dataset:crows_pairs license:mit model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #text-classification #generated_from_trainer #dataset-crows_pairs #license-mit #model-index #autotrain_compatible #endpoints_compatible #region-us 

crowspairs\_trainer\_roberta-large\_finetuned
=============================================


This model is a fine-tuned version of 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



### Framework versions


* Transformers 4.23.1
* Pytorch 1.12.1
* Datasets 2.6.1
* Tokenizers 0.13.1



### 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 ### Framework versions


* Transformers 4.23.1
* Pytorch 1.12.1
* Datasets 2.6.1
* Tokenizers 0.13.1
TAGS
#transformers #pytorch #roberta #text-classification #generated_from_trainer #dataset-crows_pairs #license-mit #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### 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 ### Framework versions


* Transformers 4.23.1
* Pytorch 1.12.1
* Datasets 2.6.1
* Tokenizers 0.13.1
TAGS
#transformers #pytorch #roberta #text-classification #generated_from_trainer #dataset-crows_pairs #license-mit #model-index #autotrain_compatible #endpoints_compatible #region-us 
### 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### Framework versions


* Transformers 4.23.1
* Pytorch 1.12.1
* Datasets 2.6.1
* Tokenizers 0.13.1