byt5-small-wikipron-eng-latn-uk-broad

This model is a fine-tuned version of google/byt5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1572
• Per: 0.2426
• Gen Len: 15.8324

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: 128
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Per	Gen Len
1.8915	1.0	393	0.2827	0.3507	15.8408
0.2887	2.0	786	0.2034	0.2885	15.8807
0.2216	3.0	1179	0.1804	0.263	15.8084
0.1934	4.0	1572	0.1683	0.2543	15.8182
0.1772	5.0	1965	0.1663	0.2499	15.8002
0.1656	6.0	2358	0.1605	0.2475	15.7992
0.1566	7.0	2751	0.1588	0.2457	15.8289
0.1509	8.0	3144	0.1579	0.2427	15.8337
0.1459	9.0	3537	0.1562	0.243	15.8391
0.1424	10.0	3930	0.1572	0.2426	15.8324

Framework versions

• Transformers 4.28.0.dev0
• Pytorch 1.13.1+cu117
• Datasets 2.9.0
• Tokenizers 0.13.2