t5-small-finetuned-en-to-pt

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3295
• Bleu: 5.6807
• Gen Len: 18.6772

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: 0.005
• 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.5787	1.0	6250	0.4928	4.1007	18.638
0.5089	2.0	12500	0.4463	4.3492	18.663
0.4652	3.0	18750	0.4215	4.68	18.6652
0.4353	4.0	25000	0.3980	4.8172	18.6708
0.4042	5.0	31250	0.3799	4.9719	18.6514
0.3734	6.0	37500	0.3676	5.2226	18.6572
0.3396	7.0	43750	0.3513	5.2693	18.6596
0.308	8.0	50000	0.3400	5.4546	18.676
0.2767	9.0	56250	0.3331	5.5649	18.6708
0.2424	10.0	62500	0.3295	5.6807	18.6772

Framework versions

• Transformers 4.15.0
• Pytorch 1.10.0+cu111
• Datasets 1.18.0
• Tokenizers 0.10.3