|
--- |
|
license: cc-by-nc-4.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- squad_modified_for_t5_qg_2 |
|
model-index: |
|
- name: greek-nllb-4ep-512 |
|
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. --> |
|
|
|
# greek-nllb-4ep-512 |
|
|
|
This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the squad_modified_for_t5_qg_2 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.2852 |
|
|
|
## 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: 2 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 16 |
|
- total_train_batch_size: 32 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 4 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 2.2208 | 0.17 | 100 | 1.5566 | |
|
| 1.7198 | 0.34 | 200 | 1.4767 | |
|
| 1.5435 | 0.51 | 300 | 1.4467 | |
|
| 1.5017 | 0.67 | 400 | 1.3955 | |
|
| 1.4569 | 0.84 | 500 | 1.3711 | |
|
| 1.4496 | 1.01 | 600 | 1.3556 | |
|
| 1.3174 | 1.18 | 700 | 1.3488 | |
|
| 1.3025 | 1.35 | 800 | 1.3398 | |
|
| 1.3013 | 1.52 | 900 | 1.3286 | |
|
| 1.2938 | 1.69 | 1000 | 1.3161 | |
|
| 1.2984 | 1.86 | 1100 | 1.3057 | |
|
| 1.2494 | 2.03 | 1200 | 1.3097 | |
|
| 1.1843 | 2.2 | 1300 | 1.2985 | |
|
| 1.1868 | 2.36 | 1400 | 1.3021 | |
|
| 1.1875 | 2.53 | 1500 | 1.2958 | |
|
| 1.1854 | 2.7 | 1600 | 1.2987 | |
|
| 1.1818 | 2.87 | 1700 | 1.2885 | |
|
| 1.1696 | 3.04 | 1800 | 1.2912 | |
|
| 1.1108 | 3.21 | 1900 | 1.2880 | |
|
| 1.1301 | 3.38 | 2000 | 1.2889 | |
|
| 1.1139 | 3.55 | 2100 | 1.2869 | |
|
| 1.1098 | 3.72 | 2200 | 1.2879 | |
|
| 1.1073 | 3.88 | 2300 | 1.2852 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.27.0.dev0 |
|
- Pytorch 1.13.1+cu116 |
|
- Datasets 2.10.1 |
|
- Tokenizers 0.13.2 |
|
|
