debiased_disambiguated
This model is a fine-tuned version of samzirbo/gendered on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2453
- Bleu: 43.5861
- Meteor: 0.6865
- Chrf++: 62.3743
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: 0.0001
- 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: 20000
Training results
Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor | Chrf++ |
---|---|---|---|---|---|---|
1.4455 | 4.0 | 2500 | 1.1810 | 43.8822 | 0.6877 | 62.5322 |
1.2959 | 8.0 | 5000 | 1.1951 | 43.9075 | 0.6891 | 62.7025 |
1.2075 | 12.0 | 7500 | 1.2133 | 43.6813 | 0.6888 | 62.5626 |
1.1445 | 16.0 | 10000 | 1.2240 | 43.5134 | 0.6885 | 62.4241 |
1.1008 | 20.0 | 12500 | 1.2336 | 43.5913 | 0.6874 | 62.444 |
1.0732 | 24.0 | 15000 | 1.2432 | 43.5071 | 0.6865 | 62.3624 |
1.058 | 28.0 | 17500 | 1.2448 | 43.5427 | 0.6867 | 62.3699 |
1.0526 | 32.0 | 20000 | 1.2453 | 43.5861 | 0.6865 | 62.3743 |
Framework versions
- Transformers 4.38.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2
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