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# iva_mt_wslot-m2m100_418M-en-pl-noleyzer

This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3387
- Bleu: 56.3512
- Gen Len: 20.7319

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.3611        | 1.0   | 4097  | 0.3088          | 53.0678 | 20.6977 |
| 0.2624        | 2.0   | 8194  | 0.2937          | 53.8146 | 20.5946 |
| 0.1904        | 3.0   | 12291 | 0.2955          | 53.7632 | 20.8701 |
| 0.1501        | 4.0   | 16388 | 0.2999          | 55.4482 | 20.6983 |
| 0.1079        | 5.0   | 20485 | 0.3074          | 55.5861 | 20.6366 |
| 0.0852        | 6.0   | 24582 | 0.3165          | 55.8774 | 20.6638 |
| 0.0646        | 7.0   | 28679 | 0.3231          | 55.9306 | 20.555  |
| 0.0464        | 8.0   | 32776 | 0.3294          | 55.9869 | 20.7809 |
| 0.0377        | 9.0   | 36873 | 0.3348          | 56.0674 | 20.7044 |
| 0.0305        | 10.0  | 40970 | 0.3387          | 56.3512 | 20.7319 |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["cartesinus/iva_mt_wslot"], "metrics": ["bleu"], "model-index": [{"name": "iva_mt_wslot-m2m100_418M-en-pl-noleyzer", "results": []}]}
transformers pytorch tensorboard m2m_100 text2text-generation generated_from_trainer dataset:cartesinus/iva_mt_wslot license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #m2m_100 #text2text-generation #generated_from_trainer #dataset-cartesinus/iva_mt_wslot #license-mit #autotrain_compatible #endpoints_compatible #region-us 

iva\_mt\_wslot-m2m100\_418M-en-pl-noleyzer
==========================================


This model is a fine-tuned version of facebook/m2m100\_418M on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.3387
* Bleu: 56.3512
* Gen Len: 20.7319


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: 10
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.27.4
* 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: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.27.4
* 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-cartesinus/iva_mt_wslot #license-mit #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: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.27.4
* 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-cartesinus/iva_mt_wslot #license-mit #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: 10
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.27.4
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3