t5-small-finetuned-de-en-lr2e-4 – AI Model by rossanez | AlphaNeural AI

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t5-small-finetuned-de-en-lr2e-4

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t5-small-finetuned-de-en-lr2e-4

This model is a fine-tuned version of t5-small on the wmt14 dataset. It achieves the following results on the evaluation set:

Loss: 2.0115
Bleu: 9.12
Gen Len: 17.4026

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: 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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	188	2.0701	8.1225	17.4542
No log	2.0	376	2.0316	8.5741	17.4229
2.2224	3.0	564	2.0229	8.9227	17.3703
2.2224	4.0	752	2.0105	9.0764	17.4053
2.2224	5.0	940	2.0115	9.12	17.4026

Framework versions

Transformers 4.12.5
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3