Vidyuth/marian-finetuned-kde4-en-to-fr

---
license: apache-2.0
tags:
- translation
- generated_from_trainer
datasets:
- kde4
metrics:
- bleu
model-index:
- name: test-marian-finetuned-kde4-en-to-fr
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: kde4
type: kde4
args: en-fr
metrics:
- name: Bleu
type: bleu
value: 52.94161337775576
---

<!-- 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. -->

# test-marian-finetuned-kde4-en-to-fr

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on the kde4 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8559
- Bleu: 52.9416

## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

### Framework versions

- Transformers 4.12.0.dev0
- Pytorch 1.8.1+cu111
- Datasets 1.12.2.dev0
- Tokenizers 0.10.3

原始信息汇总

test-marian-finetuned-kde4-en-to-fr

该模型是基于Helsinki-NLP/opus-mt-en-fr在kde4数据集上进行微调的版本。

评估结果

• 损失值: 0.8559
• Bleu分数: 52.9416

模型描述

更多信息需要补充。

使用场景与限制

更多信息需要补充。

训练和评估数据

更多信息需要补充。

训练过程

训练超参数

• 学习率: 2e-05
• 训练批次大小: 32
• 评估批次大小: 64
• 随机种子: 42
• 优化器: Adam，betas=(0.9,0.999)，epsilon=1e-08
• 学习率调度器类型: 线性
• 训练周期数: 3
• 混合精度训练: 原生AMP

训练结果

更多信息需要补充。

框架版本

• Transformers 4.12.0.dev0
• Pytorch 1.8.1+cu111
• Datasets 1.12.2.dev0
• Tokenizers 0.10.3