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# hg_telugu_indicbartss_output

This model is a fine-tuned version of [checkpoint-9](https://huggingface.co/checkpoint-9) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1625
- Rouge1: 6.3785
- Rouge2: 1.0201
- Rougel: 6.3703
- Rougelsum: 6.3768
- Mr1: 40.1756
- Mr2: 22.6278
- Mrl: 38.9605
- Gen Len: 30.0

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Mr1     | Mr2     | Mrl     | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:-------:|:-------:|:-------:|
| 0.9137        | 1.0   | 52114 | 1.1625          | 6.2669 | 0.9708 | 6.2599 | 6.2654    | 39.4378 | 22.2455 | 38.2567 | 20.0    |


### Framework versions

- Transformers 4.25.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.10.0
- Tokenizers 0.12.1

{"tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "hg_telugu_indicbartss_output", "results": []}]}
transformers pytorch mbart text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #mbart #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #has_space #region-us 

hg\_telugu\_indicbartss\_output
===============================


This model is a fine-tuned version of checkpoint-9 on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 1.1625
* Rouge1: 6.3785
* Rouge2: 1.0201
* Rougel: 6.3703
* Rougelsum: 6.3768
* Mr1: 40.1756
* Mr2: 22.6278
* Mrl: 38.9605
* Gen Len: 30.0


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: 5e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1.0


### Training results



### Framework versions


* Transformers 4.25.0.dev0
* Pytorch 1.13.1+cu117
* Datasets 2.10.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1.0 ### Training results ### Framework versions


* Transformers 4.25.0.dev0
* Pytorch 1.13.1+cu117
* Datasets 2.10.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #mbart #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1.0 ### Training results ### Framework versions


* Transformers 4.25.0.dev0
* Pytorch 1.13.1+cu117
* Datasets 2.10.0
* Tokenizers 0.12.1