byt5-base-khm-en

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: 0.5602
• Bleu: 26.8820
• Gen Len: 23.5353

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: 0.0003
• train_batch_size: 2
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 5

Additional Training includes the Asian Language Treebank (ALT) Dataset

The following hyperparameters were used during training:

• learning_rate: 0.0001
• train_batch_size: 2
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: Cosine
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.8053	1.0	1333	0.9467	3.0623	34.1781
0.6026	2.0	2666	0.7041	12.6402	26.6596
0.4719	3.0	3999	0.5933	17.5698	24.2143
0.4029	4.0	5332	0.5593	22.9685	24.0115
0.3404	5.0	6665	0.5602	26.8820	23.5353
0.5988	6.0	7998	0.5456	17.1649	78.2938
0.4947	7.0	9331	0.4823	20.9237	81.6542
0.4402	8.0	10664	0.4455	25.0764	75.5452

Evaluation results

The evaluation is done on the Tatoeba and Asian Language Treebank (ALT) dataset.

Metrics	Value
BLEU	25.08
chrF	50.05
BERTScore F1	0.9356

Framework versions

• Transformers 4.57.1
• Pytorch 2.8.0+cu126
• Datasets 4.4.2
• Tokenizers 0.22.1