yesj1234/jako_mbartLarge_6p_exp1

jako_mbartLarge_6p

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.1470
• Bleu: 21.2511
• Gen Len: 19.566

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 16
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 300
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.4498	0.48	1000	1.3303	16.7947	20.0778
1.263	0.96	2000	1.1884	18.6214	20.6673
0.8999	1.44	3000	1.1702	18.9014	19.4064
0.827	1.92	4000	1.1470	21.2511	19.566
0.5948	2.4	5000	1.2115	20.5498	19.3941
0.5404	2.88	6000	1.2167	21.2187	19.4357
0.3842	3.36	7000	1.2711	20.7732	19.3493
0.3419	3.84	8000	1.2910	20.7001	19.3106

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu121
• Datasets 2.14.6
• Tokenizers 0.14.1