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# my_text_gen_model

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Rouge1: 0.395
- Rouge2: 0.376
- Rougel: 0.3954
- Rougelsum: 0.3949
- Gen Len: 18.0

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 202   | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| No log        | 2.0   | 404   | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.008         | 3.0   | 606   | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.008         | 4.0   | 808   | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0042        | 5.0   | 1010  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0042        | 6.0   | 1212  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0042        | 7.0   | 1414  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0022        | 8.0   | 1616  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0022        | 9.0   | 1818  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.004         | 10.0  | 2020  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.004         | 11.0  | 2222  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.004         | 12.0  | 2424  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0025        | 13.0  | 2626  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0025        | 14.0  | 2828  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0016        | 15.0  | 3030  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0016        | 16.0  | 3232  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0016        | 17.0  | 3434  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0019        | 18.0  | 3636  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0019        | 19.0  | 3838  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0019        | 20.0  | 4040  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0019        | 21.0  | 4242  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0019        | 22.0  | 4444  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0012        | 23.0  | 4646  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0012        | 24.0  | 4848  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0013        | 25.0  | 5050  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0013        | 26.0  | 5252  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0013        | 27.0  | 5454  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0012        | 28.0  | 5656  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0012        | 29.0  | 5858  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0015        | 30.0  | 6060  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0015        | 31.0  | 6262  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0015        | 32.0  | 6464  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0011        | 33.0  | 6666  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0011        | 34.0  | 6868  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0011        | 35.0  | 7070  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0011        | 36.0  | 7272  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0011        | 37.0  | 7474  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0011        | 38.0  | 7676  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0011        | 39.0  | 7878  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0009        | 40.0  | 8080  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0009        | 41.0  | 8282  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0009        | 42.0  | 8484  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0004        | 43.0  | 8686  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0004        | 44.0  | 8888  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0006        | 45.0  | 9090  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0006        | 46.0  | 9292  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0006        | 47.0  | 9494  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0007        | 48.0  | 9696  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0007        | 49.0  | 9898  | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0008        | 50.0  | 10100 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0008        | 51.0  | 10302 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0003        | 52.0  | 10504 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0003        | 53.0  | 10706 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0003        | 54.0  | 10908 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0003        | 55.0  | 11110 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0003        | 56.0  | 11312 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0005        | 57.0  | 11514 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0005        | 58.0  | 11716 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0005        | 59.0  | 11918 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0015        | 60.0  | 12120 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0015        | 61.0  | 12322 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0005        | 62.0  | 12524 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0005        | 63.0  | 12726 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0005        | 64.0  | 12928 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0013        | 65.0  | 13130 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0013        | 66.0  | 13332 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0002        | 67.0  | 13534 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0002        | 68.0  | 13736 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0002        | 69.0  | 13938 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0001        | 70.0  | 14140 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0001        | 71.0  | 14342 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0005        | 72.0  | 14544 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0005        | 73.0  | 14746 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0005        | 74.0  | 14948 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0005        | 75.0  | 15150 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0005        | 76.0  | 15352 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0004        | 77.0  | 15554 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0004        | 78.0  | 15756 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0004        | 79.0  | 15958 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0004        | 80.0  | 16160 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0004        | 81.0  | 16362 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0002        | 82.0  | 16564 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0002        | 83.0  | 16766 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0002        | 84.0  | 16968 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0005        | 85.0  | 17170 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0005        | 86.0  | 17372 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0003        | 87.0  | 17574 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0003        | 88.0  | 17776 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0003        | 89.0  | 17978 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0002        | 90.0  | 18180 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0002        | 91.0  | 18382 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0001        | 92.0  | 18584 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0001        | 93.0  | 18786 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0001        | 94.0  | 18988 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0003        | 95.0  | 19190 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0003        | 96.0  | 19392 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0           | 97.0  | 19594 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0           | 98.0  | 19796 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0           | 99.0  | 19998 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |
| 0.0001        | 100.0 | 20200 | 0.0000          | 0.395  | 0.376  | 0.3954 | 0.3949    | 18.0    |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "my_text_gen_model", "results": []}]}
transformers pytorch tensorboard bart text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bart #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

my\_text\_gen\_model
====================


This model is a fine-tuned version of facebook/bart-base on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0000
* Rouge1: 0.395
* Rouge2: 0.376
* Rougel: 0.3954
* Rougelsum: 0.3949
* Gen Len: 18.0


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: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 100


### Training results



### Framework versions


* Transformers 4.30.0
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 100 ### Training results ### Framework versions


* Transformers 4.30.0
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #bart #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 100 ### Training results ### Framework versions


* Transformers 4.30.0
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3