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# mt5-aym-zero

This model is a fine-tuned version of [alvations/mt5-aym-zero](https://huggingface.co/alvations/mt5-aym-zero) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2035
- Chrf: 23.9937
- Bleu: 2.9371
- Gen Len: 17.1956

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 100000

### Training results

| Training Loss | Epoch | Step   | Bleu   | Chrf    | Gen Len | Validation Loss |
|:-------------:|:-----:|:------:|:------:|:-------:|:-------:|:---------------:|
| 0.0658        | 5.13  | 20000  | 2.9963 | 23.9471 | 17.2839 | 0.1892          |
| 0.0633        | 10.26 | 40000  | 2.9953 | 24.004  | 17.2648 | 0.1932          |
| 0.059         | 15.39 | 60000  | 2.9368 | 24.0104 | 17.2207 | 0.1975          |
| 0.057         | 20.52 | 80000  | 2.9962 | 23.978  | 17.1725 | 0.2006          |
| 0.055         | 25.65 | 100000 | 0.2035 | 23.9937 | 2.9371  | 17.1956         |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "mt5-aym-zero", "results": []}]}
transformers pytorch tensorboard mt5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

mt5-aym-zero
============


This model is a fine-tuned version of alvations/mt5-aym-zero on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.2035
* Chrf: 23.9937
* Bleu: 2.9371
* Gen Len: 17.1956


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: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 500
* training\_steps: 100000


### Training results



### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 500
* training\_steps: 100000 ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 500
* training\_steps: 100000 ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.0+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3