dl_a3_q3_results – AI Model by nks18 | AlphaNeural AI

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dl_a3_q3_results

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text2text-generation

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dl_a3_q3_results

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ro on the wmt16 dataset. It achieves the following results on the evaluation set:

Loss: 2.5716
Bleu-1: 0.785
Bleu-2: 0.6566
Rouge-l: 0.3001

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu-1	Bleu-2	Rouge-l
2.8855	1.0	1250	3.1121	0.7437	0.5967	0.2186
2.2274	2.0	2500	2.8313	0.749	0.6149	0.2604
2.019	3.0	3750	2.6962	0.7661	0.6359	0.2851
1.8669	4.0	5000	2.6241	0.7854	0.6544	0.2926
1.805	5.0	6250	2.5832	0.7812	0.6525	0.2987
1.7505	6.0	7500	2.5716	0.785	0.6566	0.3001

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.2