en-it-model

shamim237/en-it-model

en-it-model is a machine learning model from shamim237. 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.

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

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Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Model type: marian
Access: Public
Created: Nov 11, 2022
Updated: Nov 11, 2022
SHA: d0caeac5

Model card

From the Hugging Face model README

en-it-model

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

Train Loss: 0.1962
Train Acc: 0.4204
Validation Loss: 0.2883
Validation Acc: 0.4046
Epoch: 8

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Train Acc	Validation Loss	Validation Acc	Epoch
0.3407	0.4068	0.2950	0.4038	0
0.2827	0.4128	0.2846	0.4052	1
0.2563	0.4147	0.2787	0.4054	2
0.2389	0.4166	0.2777	0.4056	3
0.2262	0.4185	0.2800	0.4051	4
0.2161	0.4186	0.2817	0.4049	5
0.2082	0.4199	0.2829	0.4051	6
0.2014	0.4213	0.2860	0.4047	7
0.1962	0.4204	0.2883	0.4046	8

Framework versions

Transformers 4.24.0
TensorFlow 2.9.2
Datasets 2.6.1
Tokenizers 0.13.2

Library: transformers
Type: marian
License: apache-2.0
Created: Nov 11, 2022
Updated: Nov 11, 2022