mt5-base-finetuned-ar-sp – AI Model by eslamxm | AlphaNeural AI

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eslamxm/
mt5-base-finetuned-ar-sp

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mt5-base-finetuned-ar-sp

This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.2772
Rouge-1: 23.01
Rouge-2: 10.41
Rouge-l: 20.94
Gen Len: 19.0
Bertscore: 71.56

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: 0.0005
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge-1	Rouge-2	Rouge-l	Gen Len	Bertscore
4.1968	1.0	1352	3.5142	18.69	6.73	16.97	19.0	70.3
3.6932	2.0	2704	3.3799	20.67	8.38	18.75	19.0	70.82
3.5058	3.0	4056	3.3184	20.97	8.58	19.08	19.0	71.08
3.3832	4.0	5408	3.2851	21.59	8.94	19.63	19.0	71.28
3.2994	5.0	6760	3.2772	21.84	9.23	19.85	19.0	71.34

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1