
# Japanese-opt-2.7b Model

***Disclaimer: This model is a work in progress!***

This model is a fine-tuned version of [facebook/opt-2.7b](https://huggingface.co/facebook/opt-2.7b) on the japanese wikipedia dataset.

## Quick start

```python
from transformers import pipeline

generator = pipeline('text-generation', model="tensorcat/japanese-opt-2.7b" , device=0, use_fast=False)
generator("今日は", min_length=80, max_length=200, 
    do_sample=True, early_stopping=True, temperature=.98, top_k=50, top_p=1.0)
```


## 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: 1
- eval_batch_size: 1
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Pytorch 1.13.0+cu116


{"license": "other", "model-index": [{"name": "output_2", "results": []}]}
transformers pytorch opt text-generation license:other autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #opt #text-generation #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# Japanese-opt-2.7b Model

*Disclaimer: This model is a work in progress!*

This model is a fine-tuned version of facebook/opt-2.7b on the japanese wikipedia dataset.

## Quick start




## 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: 1
- eval_batch_size: 1
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Pytorch 1.13.0+cu116


# Japanese-opt-2.7b Model

*Disclaimer: This model is a work in progress!*

This model is a fine-tuned version of facebook/opt-2.7b on the japanese wikipedia dataset. ## Quick start ## 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: 1
- eval_batch_size: 1
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0 ### Training results ### Framework versions

- Pytorch 1.13.0+cu116
TAGS
#transformers #pytorch #opt #text-generation #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Japanese-opt-2.7b Model

*Disclaimer: This model is a work in progress!*

This model is a fine-tuned version of facebook/opt-2.7b on the japanese wikipedia dataset. ## Quick start ## 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: 1
- eval_batch_size: 1
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0 ### Training results ### Framework versions

- Pytorch 1.13.0+cu116
passage: TAGS
#transformers #pytorch #opt #text-generation #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# Japanese-opt-2.7b Model

*Disclaimer: This model is a work in progress!*

This model is a fine-tuned version of facebook/opt-2.7b on the japanese wikipedia dataset.## Quick start## 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: 1
- eval_batch_size: 1
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0### Training results### Framework versions

- Pytorch 1.13.0+cu116