baseline

This model is a fine-tuned version of samzirbo/mT5.en-es.pretrained on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.1724
• Bleu: 43.677
• Meteor: 0.6901
• Chrf++: 62.5868

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: 0.0005
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 1000
• training_steps: 50000

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Meteor	Chrf++
4.3403	0.26	2500	2.0224	27.59	0.5546	49.0181
2.4264	0.53	5000	1.7329	32.4582	0.6023	53.8983
2.1747	0.79	7500	1.5850	35.9783	0.6246	56.295
2.0285	1.05	10000	1.5016	37.3015	0.638	57.5591
1.9104	1.32	12500	1.4356	38.832	0.6501	58.6692
1.8547	1.58	15000	1.3784	39.7112	0.6593	59.4218
1.8013	1.84	17500	1.3481	39.9137	0.6608	59.7434
1.7372	2.11	20000	1.3070	40.8569	0.6679	60.4092
1.6845	2.37	22500	1.2847	41.5254	0.6721	60.8743
1.6611	2.64	25000	1.2574	42.0492	0.6767	61.2287
1.6382	2.9	27500	1.2372	42.2626	0.6806	61.5161
1.595	3.16	30000	1.2220	42.827	0.6835	61.9015
1.5645	3.43	32500	1.2088	42.909	0.6828	61.8832
1.5557	3.69	35000	1.1981	43.2386	0.6852	62.1239
1.5473	3.95	37500	1.1862	43.4076	0.6866	62.3625
1.5147	4.22	40000	1.1797	43.5469	0.6876	62.3958
1.5089	4.48	42500	1.1765	43.5486	0.689	62.5208
1.5032	4.74	45000	1.1738	43.6415	0.6893	62.5473
1.4998	5.01	47500	1.1724	43.6758	0.6898	62.581
1.4905	5.27	50000	1.1724	43.677	0.6901	62.5868

Framework versions

• Transformers 4.38.0
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.15.2