amh_to_en_model

rosswong/amh_to_en_model

amh_to_en_model is a machine learning model from rosswong. 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: t5
Access: Public
Created: May 23, 2025
Updated: May 23, 2025
SHA: d0a0faf6

Base models

google-t5/t5-small

Model card

From the Hugging Face model README

amh_to_en_model

This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.1756
Bleu: 0.0
Gen Len: 19.8299

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: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	97	4.2119	0.0	19.8428
No log	2.0	194	4.1756	0.0	19.8299

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

Library: transformers
Type: t5
License: apache-2.0
Created: May 23, 2025
Updated: May 23, 2025