metadata
base_model: samzirbo/mT5.en-es.pretrained
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: gendered_balanced_new
results: []
gendered_balanced_new
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: 1.1763
- Bleu: 43.813
- Meteor: 0.6892
- Chrf++: 62.6103
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++ |
|---|---|---|---|---|---|---|
| 4.297 | 0.44 | 2500 | 2.0050 | 28.2124 | 0.5592 | 49.6855 |
| 2.4102 | 0.88 | 5000 | 1.7130 | 33.5308 | 0.6073 | 54.4802 |
| 2.1323 | 1.31 | 7500 | 1.5723 | 36.3429 | 0.6293 | 56.6736 |
| 1.9971 | 1.75 | 10000 | 1.4819 | 37.5927 | 0.6411 | 57.7792 |
| 1.8896 | 2.19 | 12500 | 1.4211 | 38.9306 | 0.6509 | 58.8416 |
| 1.8066 | 2.63 | 15000 | 1.3774 | 40.4467 | 0.6587 | 59.8543 |
| 1.7574 | 3.06 | 17500 | 1.3336 | 40.6982 | 0.6646 | 60.1397 |
| 1.6837 | 3.5 | 20000 | 1.3066 | 41.6068 | 0.6716 | 60.8397 |
| 1.6587 | 3.94 | 22500 | 1.2767 | 41.5927 | 0.6719 | 60.9297 |
| 1.595 | 4.38 | 25000 | 1.2556 | 42.1176 | 0.6762 | 61.2694 |
| 1.5764 | 4.81 | 27500 | 1.2317 | 42.9623 | 0.6814 | 61.9533 |
| 1.5416 | 5.25 | 30000 | 1.2212 | 42.9789 | 0.681 | 61.9041 |
| 1.5155 | 5.69 | 32500 | 1.2070 | 43.3916 | 0.6865 | 62.3045 |
| 1.4955 | 6.13 | 35000 | 1.1973 | 43.455 | 0.6854 | 62.2717 |
| 1.4688 | 6.56 | 37500 | 1.1863 | 43.5298 | 0.6857 | 62.3399 |
| 1.467 | 7.0 | 40000 | 1.1827 | 43.7299 | 0.6884 | 62.4926 |
| 1.4416 | 7.44 | 42500 | 1.1796 | 43.7634 | 0.6887 | 62.5774 |
| 1.4411 | 7.88 | 45000 | 1.1764 | 43.93 | 0.6896 | 62.6606 |
| 1.434 | 8.31 | 47500 | 1.1764 | 43.8254 | 0.6885 | 62.5964 |
| 1.4311 | 8.75 | 50000 | 1.1763 | 43.813 | 0.6892 | 62.6103 |
Framework versions
- Transformers 4.38.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2