---
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Ts-En_update
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Ts-En_update

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ts-en](https://huggingface.co/Helsinki-NLP/opus-mt-ts-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2030
- Bleu: 44.6835

## 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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

|Epoch| 	Training Loss |	 Validation Loss|  	Bleu |
|:---:|:---------------:|:----------------:|:-------:|
| 1   | 1.650900      	| 1.676816        	| 31.785027|
| 2   | 1.365800      	| 1.478832        	| 35.611479|
| 3   | 1.205400      	| 1.376320        	| 38.719939|
| 4   | 1.095300      	| 1.315572        	| 40.419038|
| 5 	| 1.020000      	| 1.275409        	| 41.858332|
| 6 	| 0.959000      	| 1.245399        	| 42.456983|
| 7 	| 0.915700      	| 1.225268        	| 41.888945|
| 8 	| 0.879100      	| 1.213904        	| 43.738043|
| 9 	| 0.841900      	| 1.205976        	| 43.683633|
| 10  | 0.800600      	| 1.203017        	| 44.294833|

### Framework versions

- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1