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# test

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6386

## 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: 0.002
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0036        | 1.0   | 72   | 0.8395          |
| 0.5944        | 2.0   | 144  | 0.8436          |
| 0.518         | 3.0   | 216  | 0.8627          |
| 0.4623        | 4.0   | 288  | 0.8937          |
| 0.4208        | 5.0   | 360  | 0.9090          |
| 0.3862        | 6.0   | 432  | 0.9323          |
| 0.3564        | 7.0   | 504  | 0.9738          |
| 0.3311        | 8.0   | 576  | 0.9879          |
| 0.3088        | 9.0   | 648  | 1.0239          |
| 0.2903        | 10.0  | 720  | 1.0531          |
| 0.2722        | 11.0  | 792  | 1.0689          |
| 0.2554        | 12.0  | 864  | 1.1002          |
| 0.2418        | 13.0  | 936  | 1.1381          |
| 0.2275        | 14.0  | 1008 | 1.1688          |
| 0.2143        | 15.0  | 1080 | 1.1975          |
| 0.2043        | 16.0  | 1152 | 1.2159          |
| 0.1932        | 17.0  | 1224 | 1.2257          |
| 0.1845        | 18.0  | 1296 | 1.2598          |
| 0.1765        | 19.0  | 1368 | 1.2888          |
| 0.1682        | 20.0  | 1440 | 1.3015          |
| 0.1601        | 21.0  | 1512 | 1.3297          |
| 0.1543        | 22.0  | 1584 | 1.3502          |
| 0.1486        | 23.0  | 1656 | 1.3689          |
| 0.1424        | 24.0  | 1728 | 1.3885          |
| 0.1375        | 25.0  | 1800 | 1.4040          |
| 0.1322        | 26.0  | 1872 | 1.4242          |
| 0.1264        | 27.0  | 1944 | 1.4488          |
| 0.1226        | 28.0  | 2016 | 1.4497          |
| 0.1198        | 29.0  | 2088 | 1.4586          |
| 0.1155        | 30.0  | 2160 | 1.4811          |
| 0.1117        | 31.0  | 2232 | 1.4988          |
| 0.1084        | 32.0  | 2304 | 1.5087          |
| 0.1054        | 33.0  | 2376 | 1.5252          |
| 0.1033        | 34.0  | 2448 | 1.5347          |
| 0.1002        | 35.0  | 2520 | 1.5478          |
| 0.0986        | 36.0  | 2592 | 1.5587          |
| 0.096         | 37.0  | 2664 | 1.5666          |
| 0.0939        | 38.0  | 2736 | 1.5673          |
| 0.0923        | 39.0  | 2808 | 1.5770          |
| 0.0895        | 40.0  | 2880 | 1.5956          |
| 0.0876        | 41.0  | 2952 | 1.5962          |
| 0.0869        | 42.0  | 3024 | 1.6038          |
| 0.0856        | 43.0  | 3096 | 1.6137          |
| 0.0838        | 44.0  | 3168 | 1.6184          |
| 0.0823        | 45.0  | 3240 | 1.6301          |
| 0.0811        | 46.0  | 3312 | 1.6311          |
| 0.0803        | 47.0  | 3384 | 1.6340          |
| 0.0795        | 48.0  | 3456 | 1.6340          |
| 0.0783        | 49.0  | 3528 | 1.6374          |
| 0.0787        | 50.0  | 3600 | 1.6386          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "test", "results": []}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

test
====


This model is a fine-tuned version of t5-small on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.6386


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: 0.002
* train\_batch\_size: 128
* eval\_batch\_size: 128
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.002
* train\_batch\_size: 128
* eval\_batch\_size: 128
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.002
* train\_batch\_size: 128
* eval\_batch\_size: 128
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.002
* train\_batch\_size: 128
* eval\_batch\_size: 128
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2