|
--- |
|
base_model: samzirbo/gendered |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- bleu |
|
model-index: |
|
- name: debiased_disambiguated |
|
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_disambiguated |
|
|
|
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: 1.2453 |
|
- 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 |
|
|