mbart-large-cc25-en-ar-evaluated-en-to-ar-1000instancesopus-leaningRate2e-05-batchSize2 – AI Model by abdoutony207 | AlphaNeural AI

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mbart-large-cc25-en-ar-evaluated-en-to-ar-1000instancesopus-leaningRate2e-05-batchSize2

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mbart-large-cc25-en-ar-evaluated-en-to-ar-1000instancesopus-leaningRate2e-05-batchSize2

This model is a fine-tuned version of akhooli/mbart-large-cc25-en-ar on the opus100 dataset. It achieves the following results on the evaluation set:

Loss: 0.4673
Bleu: 10.5645
Meteor: 0.0783
Gen Len: 10.23

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 11
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Meteor	Gen Len
8.1731	0.25	100	2.8417	0.9599	0.028	230.885
0.6743	0.5	200	0.4726	6.4055	0.0692	14.81
0.3028	0.75	300	0.4572	6.7544	0.0822	23.92
0.2555	1.0	400	0.4172	8.4078	0.0742	13.655
0.1644	1.25	500	0.4236	9.284	0.071	13.03
0.1916	1.5	600	0.4222	4.8976	0.0779	32.225
0.2011	1.75	700	0.4305	7.6909	0.0738	16.675
0.1612	2.0	800	0.4416	10.8622	0.0855	10.91
0.116	2.25	900	0.4673	10.5645	0.0783	10.23

Framework versions

Transformers 4.18.0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1