
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# mymodel_v2_4

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: 2.1383
- Rouge1: 0.5107
- Rouge2: 0.1818
- Rougel: 0.4557
- Rougelsum: 0.4753
- Gen Len: 19.4327

## 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: 0.0001
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 111  | 1.6651          | 1.0836 | 0.9742 | 1.076  | 1.0681    | 19.4    |
| No log        | 2.0   | 222  | 1.6632          | 0.5545 | 0.3924 | 0.5312 | 0.5302    | 19.5855 |
| No log        | 3.0   | 333  | 1.7607          | 0.7463 | 0.5905 | 0.7663 | 0.7512    | 19.6982 |
| No log        | 4.0   | 444  | 1.8583          | 0.8352 | 0.7153 | 0.8546 | 0.8534    | 19.7018 |
| 1.4574        | 5.0   | 555  | 1.9357          | 0.659  | 0.6196 | 0.6745 | 0.6962    | 19.3273 |
| 1.4574        | 6.0   | 666  | 2.0241          | 0.4785 | 0.4545 | 0.4878 | 0.4997    | 19.6036 |
| 1.4574        | 7.0   | 777  | 2.0663          | 0.2327 | 0.1818 | 0.2741 | 0.2741    | 19.2327 |
| 1.4574        | 8.0   | 888  | 2.0969          | 0.3755 | 0.2916 | 0.3915 | 0.3956    | 19.4545 |
| 1.4574        | 9.0   | 999  | 2.1291          | 0.7743 | 0.5592 | 0.7473 | 0.7881    | 19.3964 |
| 0.3529        | 10.0  | 1110 | 2.1383          | 0.5107 | 0.1818 | 0.4557 | 0.4753    | 19.4327 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "mymodel_v2_4", "results": []}]}
transformers pytorch bart text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bart #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

mymodel\_v2\_4
==============


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: 2.1383
* Rouge1: 0.5107
* Rouge2: 0.1818
* Rougel: 0.4557
* Rougelsum: 0.4753
* Gen Len: 19.4327


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: 0.0001
* train\_batch\_size: 10
* eval\_batch\_size: 10
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0
* Datasets 2.1.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* train\_batch\_size: 10
* eval\_batch\_size: 10
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0
* Datasets 2.1.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #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: 0.0001
* train\_batch\_size: 10
* eval\_batch\_size: 10
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0
* Datasets 2.1.0
* Tokenizers 0.13.3