t5-small-finetuned-de-to-en-lr1e-4 – AI Model by marciovbarbosa | AlphaNeural AI

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t5-small-finetuned-de-to-en-lr1e-4

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t5-small-finetuned-de-to-en-lr1e-4

This model is a fine-tuned version of t5-small on the wmt16 dataset. It achieves the following results on the evaluation set:

Loss: 1.8228
Bleu: 11.427
Gen Len: 17.2674

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	272	1.9605	9.0786	17.3148
2.3992	2.0	544	1.8884	10.1443	17.3301
2.3992	3.0	816	1.8647	10.4816	17.3258
2.0832	4.0	1088	1.8473	10.7396	17.3231
2.0832	5.0	1360	1.8343	11.0937	17.2621
1.9193	6.0	1632	1.8282	11.1303	17.3098
1.9193	7.0	1904	1.8234	11.2971	17.2991
1.8351	8.0	2176	1.8241	11.3433	17.2621
1.8351	9.0	2448	1.8224	11.394	17.2691
1.7747	10.0	2720	1.8228	11.427	17.2674

Framework versions

Transformers 4.12.5
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3