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# easyword-model-peft-distilled-1.3B

This model is a fine-tuned version of [facebook/nllb-200-distilled-1.3B](https://huggingface.co/facebook/nllb-200-distilled-1.3B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1607
- Bleu: 0.0
- Gen Len: 5.9876

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 31   | 4.9650          | 0.0    | 9.3975  |
| No log        | 2.0   | 62   | 4.4353          | 0.1522 | 8.6957  |
| No log        | 3.0   | 93   | 3.8967          | 1.2792 | 6.8137  |
| No log        | 4.0   | 124  | 3.6053          | 2.6004 | 6.0062  |
| No log        | 5.0   | 155  | 3.5239          | 2.9339 | 5.8571  |
| No log        | 6.0   | 186  | 3.4692          | 2.6031 | 5.8261  |
| No log        | 7.0   | 217  | 3.4244          | 2.6536 | 5.795   |
| No log        | 8.0   | 248  | 3.3865          | 2.6445 | 5.8509  |
| No log        | 9.0   | 279  | 3.3555          | 2.5482 | 5.9193  |
| No log        | 10.0  | 310  | 3.3325          | 3.087  | 5.913   |
| No log        | 11.0  | 341  | 3.3141          | 3.3511 | 5.9006  |
| No log        | 12.0  | 372  | 3.2986          | 3.3511 | 5.8944  |
| No log        | 13.0  | 403  | 3.2871          | 3.9871 | 5.8758  |
| No log        | 14.0  | 434  | 3.2787          | 3.3083 | 5.882   |
| No log        | 15.0  | 465  | 3.2738          | 3.3083 | 5.882   |
| No log        | 16.0  | 496  | 3.2720          | 3.3083 | 5.882   |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "easyword-model-peft-distilled-1.3B", "results": []}]}
pytorch generated_from_trainer license:cc-by-nc-4.0 region:us
TAGS
#pytorch #generated_from_trainer #license-cc-by-nc-4.0 #region-us 

easyword-model-peft-distilled-1.3B
==================================


This model is a fine-tuned version of facebook/nllb-200-distilled-1.3B on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 3.1607
* Bleu: 0.0
* Gen Len: 5.9876


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: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 16
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.1+cu117
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 16
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.1+cu117
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#pytorch #generated_from_trainer #license-cc-by-nc-4.0 #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 16
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 2.0.1+cu117
* Datasets 2.12.0
* Tokenizers 0.13.3