byt5-base-finetuned-modernisa

This model is a fine-tuned version of google/byt5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1176
• Bleu: 44.888
• Gen Len: 18.4465

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.1474	0.35	10000	0.1360	42.8789	18.4441
0.1328	0.71	20000	0.1303	43.5394	18.4368
0.1216	1.06	30000	0.1245	44.1557	18.4384
0.1167	1.42	40000	0.1219	44.1961	18.4449
0.1065	1.77	50000	0.1192	44.7353	18.443
0.099	2.13	60000	0.1195	44.522	18.4524
0.088	2.48	70000	0.1192	44.8243	18.4441
0.0907	2.84	80000	0.1176	44.888	18.4465

Framework versions

• Transformers 4.13.0.dev0
• Pytorch 1.10.0+cu111
• Datasets 1.15.2.dev0
• Tokenizers 0.10.3