mt5-small-finetuned-amazon-en-es

Ashwin0/mt5-small-finetuned-amazon-en-es

mt5-small-finetuned-amazon-en-es is a machine learning model from Ashwin0. 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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At a glance

Library: transformers
License: apache-2.0
Model type: mt5
Access: Public
Created: Mar 31, 2023
Updated: Apr 1, 2023
SHA: 19efd46e

Model card

From the Hugging Face model README

Ashwin0/mt5-small-finetuned-amazon-en-es

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 6.5637
Validation Loss: 4.4146
Epoch: 7

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 2418, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
10.6408	4.8732	0
6.7679	4.4146	1
6.5518	4.4146	2
6.5538	4.4146	3
6.5289	4.4146	4
6.5397	4.4146	5
6.5474	4.4146	6
6.5637	4.4146	7

Framework versions

Transformers 4.26.1
TensorFlow 2.11.0
Datasets 2.10.1
Tokenizers 0.13.2

Library: transformers
Type: mt5
License: apache-2.0
Created: Mar 31, 2023
Updated: Apr 1, 2023