iva_mt_wslot-m2m100_418M-zh-en

This model is a fine-tuned version of facebook/m2m100_418M on the iva_mt_wslot dataset. It achieves the following results on the evaluation set:

• Loss: 0.0139
• Bleu: 67.9385
• Gen Len: 18.9988

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: 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: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.016	1.0	2437	0.0138	62.077	18.6077
0.0114	2.0	4874	0.0126	64.3834	18.9019
0.0084	3.0	7311	0.0123	66.0012	18.9206
0.0067	4.0	9748	0.0123	66.7838	19.0018
0.005	5.0	12185	0.0124	66.9053	18.9527
0.0039	6.0	14622	0.0128	67.5252	18.9918
0.003	7.0	17059	0.0131	67.3664	18.9609
0.0025	8.0	19496	0.0135	67.792	19.0198
0.0019	9.0	21933	0.0137	67.7256	18.9591
0.0015	10.0	24370	0.0139	67.9385	18.9988

Framework versions

• Transformers 4.28.1
• Pytorch 2.1.0+cu121
• Datasets 2.15.0
• Tokenizers 0.13.3