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# t5-small_crows_pairs_finetuned_HBRPOI

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the crows_pairs dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3485
- Accuracy: 0.6490
- Tp: 0.4934
- Tn: 0.1556
- Fp: 0.3411
- Fn: 0.0099

## 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: 0.0005
- train_batch_size: 64
- eval_batch_size: 64
- 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 | Tp     | Tn     | Fp     | Fn     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|
| 0.4336        | 1.05  | 20   | 0.3559          | 0.5033   | 0.5033 | 0.0    | 0.4967 | 0.0    |
| 0.3726        | 2.11  | 40   | 0.3608          | 0.5033   | 0.5033 | 0.0    | 0.4967 | 0.0    |
| 0.317         | 3.16  | 60   | 0.3112          | 0.5099   | 0.5033 | 0.0066 | 0.4901 | 0.0    |
| 0.259         | 4.21  | 80   | 0.2822          | 0.5662   | 0.5    | 0.0662 | 0.4305 | 0.0033 |
| 0.2439        | 5.26  | 100  | 0.3249          | 0.7119   | 0.4934 | 0.2185 | 0.2781 | 0.0099 |
| 0.1824        | 6.32  | 120  | 0.3082          | 0.6093   | 0.4934 | 0.1159 | 0.3808 | 0.0099 |
| 0.1549        | 7.37  | 140  | 0.3217          | 0.5960   | 0.4967 | 0.0993 | 0.3974 | 0.0066 |
| 0.1312        | 8.42  | 160  | 0.3365          | 0.6325   | 0.4934 | 0.1391 | 0.3576 | 0.0099 |
| 0.1158        | 9.47  | 180  | 0.3485          | 0.6490   | 0.4934 | 0.1556 | 0.3411 | 0.0099 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["crows_pairs"], "metrics": ["accuracy"], "model-index": [{"name": "t5-small_crows_pairs_finetuned_HBRPOI", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "crows_pairs", "type": "crows_pairs", "config": "crows_pairs", "split": "test", "args": "crows_pairs"}, "metrics": [{"type": "accuracy", "value": 0.6490066225165563, "name": "Accuracy"}]}]}]}
transformers pytorch t5 text2text-generation generated_from_trainer dataset:crows_pairs license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #dataset-crows_pairs #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

t5-small\_crows\_pairs\_finetuned\_HBRPOI
=========================================


This model is a fine-tuned version of t5-small on the crows\_pairs dataset.
It achieves the following results on the evaluation set:


* Loss: 0.3485
* Accuracy: 0.6490
* Tp: 0.4934
* Tn: 0.1556
* Fp: 0.3411
* Fn: 0.0099


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: 0.0005
* train\_batch\_size: 64
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1
* Datasets 2.10.1
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0005
* train\_batch\_size: 64
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #dataset-crows_pairs #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0005
* train\_batch\_size: 64
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1
* Datasets 2.10.1
* Tokenizers 0.13.2