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Samuael/
ethiopic-sec2sec-tigrinya

Name: ethiopic-sec2sec-tigrinya
Availability: InStock

generated_from_trainer

Samuael/ethiopic-sec2sec-tigrinya

finetune

text-generation-inference

endpoints_compatible

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ethiopic-sec2sec-tigrinya

This model is a fine-tuned version of Samuael/ethiopic-sec2sec-tigrinya on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.3390
Wer: 0.2570
Cer: 0.1269
Bleu: 67.2562

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: 0.0002
train_batch_size: 64
eval_batch_size: 128
seed: 42
optimizer: Use 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: 9
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer	Bleu
0.086	1.0	433	4.0475	0.2592	0.1222	67.0097
0.1177	2.0	866	3.8429	0.3645	0.2577	59.7600
0.1312	3.0	1299	4.0294	0.2630	0.1337	66.8126
0.1322	4.0	1732	4.1292	0.2527	0.1231	68.4884
0.1411	5.0	2165	3.9989	0.2662	0.1358	66.4299
0.1686	6.0	2598	4.1555	0.2592	0.1388	67.9808
0.1587	7.0	3031	4.2802	0.2543	0.1264	66.9025
0.1386	8.0	3464	4.2682	0.2554	0.1283	68.7450
0.0886	9.0	3897	4.3390	0.2570	0.1269	67.2562

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3