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# iva_mt_wslot-m2m100_418M-en-pl-massive_filtered

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: 0.0183
- Bleu: 62.374
- Gen Len: 22.2291

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.02          | 1.0   | 4207  | 0.0178          | 58.2501 | 22.1015 |
| 0.0138        | 2.0   | 8414  | 0.0165          | 59.7044 | 22.3942 |
| 0.0098        | 3.0   | 12621 | 0.0164          | 60.5111 | 22.2572 |
| 0.0076        | 4.0   | 16828 | 0.0165          | 61.0963 | 22.2659 |
| 0.0056        | 5.0   | 21035 | 0.0168          | 61.2977 | 22.1654 |
| 0.0041        | 6.0   | 25242 | 0.0171          | 61.6892 | 22.2384 |
| 0.0032        | 7.0   | 29449 | 0.0177          | 61.5857 | 22.2927 |
| 0.0024        | 8.0   | 33656 | 0.0179          | 62.1501 | 22.1389 |
| 0.0018        | 9.0   | 37863 | 0.0182          | 62.3106 | 22.3325 |
| 0.0015        | 10.0  | 42070 | 0.0183          | 62.374  | 22.2291 |


### 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-pl-massive_filtered", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "iva_mt_wslot-exp", "type": "iva_mt_wslot-exp", "config": "en-pl", "split": "validation", "args": "en-pl"}, "metrics": [{"type": "bleu", "value": 62.374, "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-pl-massive\_filtered
===================================================


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: 0.0183
* Bleu: 62.374
* Gen Len: 22.2291


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 4.28.1
* 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: 10
* 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: 10
* 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: 10
* 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