meta-translation-chinese-english-model

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

• Loss: 3.8438
• Bleu: 0.4467
• Gen Len: 18.815
• Exact Match: 0.0

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: 2e-05
• 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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len	Exact Match
No log	1.0	50	3.9743	0.1872	15.755	0.0
No log	2.0	100	3.9226	0.196	17.525	0.0
No log	3.0	150	3.8931	0.3008	18.075	0.0
No log	4.0	200	3.8743	0.4408	18.83	0.0
No log	5.0	250	3.8628	0.3987	18.83	0.0
No log	6.0	300	3.8546	0.4146	18.905	0.0
No log	7.0	350	3.8498	0.4069	18.87	0.0
No log	8.0	400	3.8464	0.4022	18.85	0.0
No log	9.0	450	3.8445	0.4432	18.815	0.0
4.0794	10.0	500	3.8438	0.4467	18.815	0.0

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1