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# iva_mt_wslot-m2m100_418M-en-es-massive_unfiltered

This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the iva_mt_wslot-exp dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0114
- Bleu: 67.6426
- Gen Len: 18.9134

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.0129        | 1.0   | 2879  | 0.0118          | 65.4383 | 18.8697 |
| 0.009         | 2.0   | 5758  | 0.0109          | 66.6878 | 18.9331 |
| 0.0066        | 3.0   | 8637  | 0.0107          | 66.6143 | 18.8687 |
| 0.0049        | 4.0   | 11516 | 0.0108          | 66.9832 | 18.8067 |
| 0.0037        | 5.0   | 14395 | 0.0109          | 67.452  | 18.8598 |
| 0.0028        | 6.0   | 17274 | 0.0112          | 67.4281 | 18.9213 |
| 0.0023        | 7.0   | 20153 | 0.0114          | 67.6426 | 18.9134 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["iva_mt_wslot-exp"], "metrics": ["bleu"], "model-index": [{"name": "iva_mt_wslot-m2m100_418M-en-es-massive_unfiltered", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "iva_mt_wslot-exp", "type": "iva_mt_wslot-exp", "config": "en-es", "split": "validation", "args": "en-es"}, "metrics": [{"type": "bleu", "value": 67.6426, "name": "Bleu"}]}]}]}
transformers pytorch tensorboard m2m_100 text2text-generation generated_from_trainer dataset:iva_mt_wslot-exp license:mit model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #m2m_100 #text2text-generation #generated_from_trainer #dataset-iva_mt_wslot-exp #license-mit #model-index #autotrain_compatible #endpoints_compatible #region-us 

iva\_mt\_wslot-m2m100\_418M-en-es-massive\_unfiltered
=====================================================


This model is a fine-tuned version of facebook/m2m100\_418M on the iva\_mt\_wslot-exp dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0114
* Bleu: 67.6426
* Gen Len: 18.9134


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: 2e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 7
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 7
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #m2m_100 #text2text-generation #generated_from_trainer #dataset-iva_mt_wslot-exp #license-mit #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 7
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #m2m_100 #text2text-generation #generated_from_trainer #dataset-iva_mt_wslot-exp #license-mit #model-index #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 7
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3