t5-finetuned-ar-to-arsl_test

Sobeih22/t5-finetuned-ar-to-arsl_test

t5-finetuned-ar-to-arsl_test is a machine learning model from Sobeih22. 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: Jun 21, 2024
Updated: Jun 21, 2024
SHA: d12b7f54

Base models

PRAli22/arat5-arabic-dialects-translation

Model card

From the Hugging Face model README

t5-finetuned-ar-to-arsl_test

This model is a fine-tuned version of PRAli22/arat5-arabic-dialects-translation on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3309
Bleu1: 0.9310
Bleu2: 0.8974
Bleu3: 0.7219
Bleu4: 0.5884

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu1	Bleu2	Bleu3	Bleu4
No log	1.0	59	0.4660	0.8440	0.7803	0.5955	0.4626
No log	2.0	118	0.3223	0.8966	0.8500	0.6689	0.5321
No log	2.99	177	0.3004	0.9170	0.8791	0.7022	0.5644
No log	3.99	236	0.2925	0.9205	0.8834	0.7071	0.5703
No log	4.99	295	0.3099	0.9223	0.8859	0.7090	0.5716
No log	5.99	354	0.2879	0.9244	0.8892	0.7125	0.5768
No log	6.99	413	0.2971	0.9280	0.8936	0.7176	0.5824
No log	8.0	473	0.2986	0.9254	0.8899	0.7136	0.5800
0.3874	9.0	532	0.3128	0.9293	0.8952	0.7204	0.5874
0.3874	10.0	591	0.3166	0.9316	0.8992	0.7242	0.5907
0.3874	10.99	650	0.3270	0.9303	0.8964	0.7214	0.5861
0.3874	11.99	709	0.3290	0.9304	0.8961	0.7223	0.5883
0.3874	12.99	768	0.3326	0.9296	0.8957	0.7216	0.5880
0.3874	13.99	827	0.3309	0.9294	0.8959	0.7208	0.5870
0.3874	14.97	885	0.3309	0.9310	0.8974	0.7219	0.5884

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Type: t5
License: apache-2.0
Created: Jun 21, 2024
Updated: Jun 21, 2024