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# Prgrg/ja-en-dataset-v3.0-subset-v2.0

This model is a fine-tuned version of [Prgrg/ja-en-dataset-v3.0-subset-v1.0](https://huggingface.co/Prgrg/ja-en-dataset-v3.0-subset-v1.0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.1008
- Validation Loss: 1.1490
- Epoch: 7

## 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:
- optimizer: {'name': 'Adam', 'weight_decay': 0.0, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'LinearWarmupCosineSchedule', 'config': {'initial_learning_rate': 0.0005, 'num_warmup_steps': 37575, 'num_training_steps': 375752}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 1.6417     | 1.6251          | 0     |
| 1.6668     | 1.5313          | 1     |
| 1.5536     | 1.4377          | 2     |
| 1.4515     | 1.3447          | 3     |
| 1.3305     | 1.2609          | 4     |
| 1.2264     | 1.1908          | 5     |
| 1.1451     | 1.1540          | 6     |
| 1.1008     | 1.1490          | 7     |


### Framework versions

- Transformers 4.27.3
- TensorFlow 2.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "Prgrg/ja-en-dataset-v3.0-subset-v2.0", "results": []}]}
transformers tf marian text2text-generation generated_from_keras_callback license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #tf #marian #text2text-generation #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

Prgrg/ja-en-dataset-v3.0-subset-v2.0
====================================


This model is a fine-tuned version of Prgrg/ja-en-dataset-v3.0-subset-v1.0 on an unknown dataset.
It achieves the following results on the evaluation set:


* Train Loss: 1.1008
* Validation Loss: 1.1490
* Epoch: 7


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:


* optimizer: {'name': 'Adam', 'weight\_decay': 0.0, 'clipnorm': None, 'global\_clipnorm': None, 'clipvalue': None, 'use\_ema': False, 'ema\_momentum': 0.99, 'ema\_overwrite\_frequency': None, 'jit\_compile': True, 'is\_legacy\_optimizer': False, 'learning\_rate': {'class\_name': 'LinearWarmupCosineSchedule', 'config': {'initial\_learning\_rate': 0.0005, 'num\_warmup\_steps': 37575, 'num\_training\_steps': 375752}}, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
* training\_precision: mixed\_float16


### Training results



### Framework versions


* Transformers 4.27.3
* TensorFlow 2.11.0
* Datasets 2.10.1
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'Adam', 'weight\_decay': 0.0, 'clipnorm': None, 'global\_clipnorm': None, 'clipvalue': None, 'use\_ema': False, 'ema\_momentum': 0.99, 'ema\_overwrite\_frequency': None, 'jit\_compile': True, 'is\_legacy\_optimizer': False, 'learning\_rate': {'class\_name': 'LinearWarmupCosineSchedule', 'config': {'initial\_learning\_rate': 0.0005, 'num\_warmup\_steps': 37575, 'num\_training\_steps': 375752}}, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
* training\_precision: mixed\_float16 ### Training results ### Framework versions


* Transformers 4.27.3
* TensorFlow 2.11.0
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #tf #marian #text2text-generation #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'Adam', 'weight\_decay': 0.0, 'clipnorm': None, 'global\_clipnorm': None, 'clipvalue': None, 'use\_ema': False, 'ema\_momentum': 0.99, 'ema\_overwrite\_frequency': None, 'jit\_compile': True, 'is\_legacy\_optimizer': False, 'learning\_rate': {'class\_name': 'LinearWarmupCosineSchedule', 'config': {'initial\_learning\_rate': 0.0005, 'num\_warmup\_steps': 37575, 'num\_training\_steps': 375752}}, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
* training\_precision: mixed\_float16 ### Training results ### Framework versions


* Transformers 4.27.3
* TensorFlow 2.11.0
* Datasets 2.10.1
* Tokenizers 0.13.2