debiased / README.md
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---
base_model: samzirbo/gendered
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: debiased
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# debiased
This model is a fine-tuned version of [samzirbo/gendered](https://huggingface.co/samzirbo/gendered) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2202
- Bleu: 43.2797
- Meteor: 0.6854
- Chrf++: 62.2643
## 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: 10000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor | Chrf++ |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|
| 1.4077 | 4.0 | 2500 | 1.2011 | 43.3975 | 0.685 | 62.313 |
| 1.2934 | 8.0 | 5000 | 1.2125 | 43.223 | 0.6845 | 62.1664 |
| 1.2352 | 12.0 | 7500 | 1.2173 | 43.2517 | 0.685 | 62.2467 |
| 1.2137 | 16.0 | 10000 | 1.2202 | 43.2797 | 0.6854 | 62.2643 |
### Framework versions
- Transformers 4.38.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2