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# gen-qm-17-small

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: 0.0339

## 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: 2e-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: 60

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.2939        | 1.0   | 468   | 0.2461          |
| 0.3542        | 2.0   | 936   | 0.1119          |
| 0.21          | 3.0   | 1404  | 0.0772          |
| 0.1602        | 4.0   | 1872  | 0.0656          |
| 0.1325        | 5.0   | 2340  | 0.0579          |
| 0.116         | 6.0   | 2808  | 0.0527          |
| 0.1068        | 7.0   | 3276  | 0.0520          |
| 0.0986        | 8.0   | 3744  | 0.0497          |
| 0.0911        | 9.0   | 4212  | 0.0469          |
| 0.0849        | 10.0  | 4680  | 0.0449          |
| 0.0808        | 11.0  | 5148  | 0.0442          |
| 0.0783        | 12.0  | 5616  | 0.0433          |
| 0.0761        | 13.0  | 6084  | 0.0414          |
| 0.074         | 14.0  | 6552  | 0.0410          |
| 0.0715        | 15.0  | 7020  | 0.0408          |
| 0.068         | 16.0  | 7488  | 0.0402          |
| 0.0674        | 17.0  | 7956  | 0.0393          |
| 0.0661        | 18.0  | 8424  | 0.0399          |
| 0.0645        | 19.0  | 8892  | 0.0392          |
| 0.063         | 20.0  | 9360  | 0.0397          |
| 0.0619        | 21.0  | 9828  | 0.0382          |
| 0.0623        | 22.0  | 10296 | 0.0373          |
| 0.0609        | 23.0  | 10764 | 0.0372          |
| 0.0593        | 24.0  | 11232 | 0.0372          |
| 0.0584        | 25.0  | 11700 | 0.0369          |
| 0.0579        | 26.0  | 12168 | 0.0364          |
| 0.0572        | 27.0  | 12636 | 0.0365          |
| 0.0573        | 28.0  | 13104 | 0.0364          |
| 0.0556        | 29.0  | 13572 | 0.0363          |
| 0.0562        | 30.0  | 14040 | 0.0354          |
| 0.0544        | 31.0  | 14508 | 0.0358          |
| 0.0547        | 32.0  | 14976 | 0.0359          |
| 0.0529        | 33.0  | 15444 | 0.0353          |
| 0.0534        | 34.0  | 15912 | 0.0355          |
| 0.0524        | 35.0  | 16380 | 0.0353          |
| 0.052         | 36.0  | 16848 | 0.0354          |
| 0.0525        | 37.0  | 17316 | 0.0354          |
| 0.0533        | 38.0  | 17784 | 0.0351          |
| 0.0507        | 39.0  | 18252 | 0.0347          |
| 0.0504        | 40.0  | 18720 | 0.0347          |
| 0.0509        | 41.0  | 19188 | 0.0344          |
| 0.051         | 42.0  | 19656 | 0.0346          |
| 0.0507        | 43.0  | 20124 | 0.0342          |
| 0.0505        | 44.0  | 20592 | 0.0342          |
| 0.0497        | 45.0  | 21060 | 0.0344          |
| 0.0491        | 46.0  | 21528 | 0.0341          |
| 0.0489        | 47.0  | 21996 | 0.0340          |
| 0.0488        | 48.0  | 22464 | 0.0342          |
| 0.0481        | 49.0  | 22932 | 0.0338          |
| 0.0488        | 50.0  | 23400 | 0.0339          |
| 0.048         | 51.0  | 23868 | 0.0340          |
| 0.0481        | 52.0  | 24336 | 0.0341          |
| 0.0483        | 53.0  | 24804 | 0.0339          |
| 0.0492        | 54.0  | 25272 | 0.0339          |
| 0.0475        | 55.0  | 25740 | 0.0339          |
| 0.0477        | 56.0  | 26208 | 0.0339          |
| 0.0481        | 57.0  | 26676 | 0.0339          |
| 0.0478        | 58.0  | 27144 | 0.0338          |
| 0.0485        | 59.0  | 27612 | 0.0339          |
| 0.0479        | 60.0  | 28080 | 0.0339          |


### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "gen-qm-17-small", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

gen-qm-17-small
===============


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


* Loss: 0.0339


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: 2e-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: 60


### Training results



### Framework versions


* Transformers 4.27.3
* Pytorch 1.13.1
* Datasets 2.10.1
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-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: 60 ### Training results ### Framework versions


* Transformers 4.27.3
* Pytorch 1.13.1
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #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: 2e-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: 60 ### Training results ### Framework versions


* Transformers 4.27.3
* Pytorch 1.13.1
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #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: 2e-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: 60### Training results### Framework versions


* Transformers 4.27.3
* Pytorch 1.13.1
* Datasets 2.10.1
* Tokenizers 0.13.2