README.md

metadata

license: cc-by-4.0
base_model: Helsinki-NLP/opus-mt-tc-big-en-pt
tags:
  - generated_from_trainer
datasets:
  - kde4
model-index:
  - name: opus-en-to-pt-translate
    results: []

opus-en-to-pt-translate

This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-en-pt on the kde4 dataset. It achieves the following results on the evaluation set:

• Loss: 0.5618

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: 32
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4982	0.08	500	0.6398
0.5475	0.15	1000	0.6370
0.5397	0.23	1500	0.6333
0.5267	0.31	2000	0.6272
0.5212	0.39	2500	0.6240
0.522	0.46	3000	0.6179
0.5213	0.54	3500	0.6124
0.5155	0.62	4000	0.6114
0.5143	0.7	4500	0.6053
0.5037	0.77	5000	0.6058
0.5093	0.85	5500	0.6002
0.5253	0.93	6000	0.5945
0.5138	1.01	6500	0.5892
0.4864	1.08	7000	0.5906
0.491	1.16	7500	0.5889
0.4993	1.24	8000	0.5849
0.4749	1.32	8500	0.5849
0.4911	1.39	9000	0.5812
0.487	1.47	9500	0.5796
0.4846	1.55	10000	0.5758
0.4863	1.63	10500	0.5739
0.4792	1.7	11000	0.5725
0.4816	1.78	11500	0.5704
0.4811	1.86	12000	0.5684
0.4773	1.94	12500	0.5676
0.4657	2.01	13000	0.5691
0.4246	2.09	13500	0.5683
0.4285	2.17	14000	0.5693
0.4241	2.25	14500	0.5676
0.422	2.32	15000	0.5669
0.4199	2.4	15500	0.5656
0.4273	2.48	16000	0.5650
0.4161	2.56	16500	0.5651
0.4243	2.63	17000	0.5635
0.4202	2.71	17500	0.5628
0.4152	2.79	18000	0.5627
0.4179	2.87	18500	0.5619
0.4241	2.94	19000	0.5618

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2