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: 1.2519
- Bleu: 43.4419
- Meteor: 0.6862
- Chrf++: 62.3013
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++ |
---|---|---|---|---|---|---|
1.445 | 4.0 | 2500 | 1.1822 | 43.9248 | 0.6884 | 62.5723 |
1.2957 | 8.0 | 5000 | 1.1979 | 43.8883 | 0.6895 | 62.7128 |
1.2075 | 12.0 | 7500 | 1.2175 | 43.7585 | 0.6898 | 62.632 |
1.1444 | 16.0 | 10000 | 1.2293 | 43.4828 | 0.6877 | 62.4138 |
1.1008 | 20.0 | 12500 | 1.2393 | 43.6407 | 0.6878 | 62.4843 |
1.0732 | 24.0 | 15000 | 1.2493 | 43.5384 | 0.6871 | 62.4032 |
1.058 | 28.0 | 17500 | 1.2515 | 43.4728 | 0.686 | 62.3369 |
1.0526 | 32.0 | 20000 | 1.2519 | 43.4419 | 0.6862 | 62.3013 |
Framework versions
- Transformers 4.38.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2
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