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# tuna_t0_v1.6

This model is a fine-tuned version of [anhdt-dsai-02/tuna_t0_v1.4](https://huggingface.co/anhdt-dsai-02/tuna_t0_v1.4) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2728
- Rouge1: 48.7673
- Rouge2: 21.6362
- Rougel: 33.1174
- Rougelsum: 36.77
- Bleu: 5.5664

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu   |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|
| 0.3131        | 1.0   | 7455  | 0.2811          | 47.5613 | 21.2753 | 32.3442 | 35.7895   | 5.3805 |
| 0.3524        | 2.0   | 14910 | 0.2757          | 48.8703 | 21.5877 | 33.0113 | 36.6099   | 6.0464 |
| 0.2785        | 3.0   | 22365 | 0.2734          | 48.9094 | 21.7508 | 33.3675 | 36.9757   | 5.9984 |
| 0.3074        | 4.0   | 29820 | 0.2728          | 48.7673 | 21.6362 | 33.1174 | 36.77     | 5.5664 |


### Framework versions

- Transformers 4.26.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "metrics": ["rouge", "bleu"], "model-index": [{"name": "tuna_t0_v1.6", "results": []}]}
transformers pytorch tensorboard mt5 text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

tuna\_t0\_v1.6
==============


This model is a fine-tuned version of anhdt-dsai-02/tuna\_t0\_v1.4 on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.2728
* Rouge1: 48.7673
* Rouge2: 21.6362
* Rougel: 33.1174
* Rougelsum: 36.77
* Bleu: 5.5664


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: 1e-05
* train\_batch\_size: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 4


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 2.0.0
* Datasets 2.1.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


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


* Transformers 4.26.1
* Pytorch 2.0.0
* Datasets 2.1.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


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


* Transformers 4.26.1
* Pytorch 2.0.0
* Datasets 2.1.0
* Tokenizers 0.13.3