elvish-translator-quenya-t5-base – AI Model by Oysiyl | AlphaNeural AI

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Oysiyl/
elvish-translator-quenya-t5-base

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text2text-generation

generated_from_trainer

google-t5/t5-base

text-generation-inference

endpoints_compatible

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elvish-translator-quenya-t5-base

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

Loss: 3.4619
Bleu: 0.3386
Gen Len: 14.3889

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
4.5969	1.0	144	4.0271	0.1511	14.5278
4.1388	2.0	288	3.8283	0.1435	15.3819
3.9458	3.0	432	3.7158	0.2337	13.2639
3.808	4.0	576	3.6417	0.2594	14.0278
3.7546	5.0	720	3.5761	0.295	14.7639
3.6707	6.0	864	3.5284	0.2913	15.2986
3.6004	7.0	1008	3.4973	0.3018	14.9861
3.5505	8.0	1152	3.4758	0.3043	14.7431
3.5129	9.0	1296	3.4659	0.3296	14.4792
3.5232	10.0	1440	3.4619	0.3386	14.3889

Framework versions

Transformers 4.44.2
Pytorch 2.2.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1