SUBTITLE_ja-en_helsinki

twieland/SUBTITLE_ja-en_helsinki

SUBTITLE_ja-en_helsinki is a machine learning model from twieland. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: marian
Access: Public
Created: Jun 9, 2022
Updated: Jun 9, 2022
SHA: 4ff1d591

Model card

From the Hugging Face model README

SUBTITLE_ja-en_helsinki

This model is a fine-tuned version of Helsinki-NLP/opus-mt-ja-en on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 5.4097

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: 0.0003
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.025	0.05	2000	5.1692
2.9548	0.09	4000	5.7128
2.8762	0.14	6000	5.9297
2.821	0.18	8000	6.0415
2.7826	0.23	10000	6.0416
2.7386	0.27	12000	6.0069
2.7036	0.32	14000	6.0192
2.678	0.37	16000	5.9286
2.6499	0.41	18000	5.9587
2.6261	0.46	20000	5.9044
2.6032	0.5	22000	5.8482
2.5708	0.55	24000	5.7760
2.5517	0.59	26000	5.7546
2.5336	0.64	28000	5.7447
2.5196	0.69	30000	5.7373
2.4957	0.73	32000	5.6429
2.483	0.78	34000	5.6874
2.4599	0.82	36000	5.6482
2.4468	0.87	38000	5.5951
2.4344	0.92	40000	5.6355
2.4223	0.96	42000	5.6135
2.3878	1.01	44000	5.6164
2.294	1.05	46000	5.5802
2.2896	1.1	48000	5.5924
2.2815	1.14	50000	5.5296
2.2702	1.19	52000	5.5119
2.2741	1.24	54000	5.4775
2.2586	1.28	56000	5.4663
2.2492	1.33	58000	5.4764
2.2411	1.37	60000	5.4444
2.2275	1.42	62000	5.4566
2.218	1.46	64000	5.4845
2.2086	1.51	66000	5.4681
2.1976	1.56	68000	5.4775
2.1877	1.6	70000	5.4619
2.177	1.65	72000	5.4621
2.1722	1.69	74000	5.4322
2.1599	1.74	76000	5.4348
2.1475	1.78	78000	5.4432
2.1477	1.83	80000	5.4239
2.134	1.88	82000	5.4182
2.1302	1.92	84000	5.4089
2.125	1.97	86000	5.4097

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1

Library: transformers
Type: marian
License: apache-2.0
Created: Jun 9, 2022
Updated: Jun 9, 2022