|
--- |
|
license: apache-2.0 |
|
base_model: Helsinki-NLP/opus-mt-en-ro |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- arrow |
|
metrics: |
|
- bleu |
|
model-index: |
|
- name: opus-mt-en-bkm-10e |
|
results: |
|
- task: |
|
name: Sequence-to-sequence Language Modeling |
|
type: text2text-generation |
|
dataset: |
|
name: arrow |
|
type: arrow |
|
config: default |
|
split: train |
|
args: default |
|
metrics: |
|
- name: Bleu |
|
type: bleu |
|
value: 7.1794 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# opus-mt-en-bkm-10e |
|
|
|
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ro](https://huggingface.co/Helsinki-NLP/opus-mt-en-ro) on the arrow dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.5644 |
|
- Bleu: 7.1794 |
|
- Gen Len: 60.0222 |
|
|
|
## 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: 2e-05 |
|
- train_batch_size: 96 |
|
- eval_batch_size: 96 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
|
| No log | 1.0 | 186 | 2.6868 | 0.299 | 76.178 | |
|
| No log | 2.0 | 372 | 2.0190 | 2.2444 | 67.167 | |
|
| 3.115 | 3.0 | 558 | 1.8364 | 4.5959 | 59.7357 | |
|
| 3.115 | 4.0 | 744 | 1.7372 | 5.1827 | 61.7218 | |
|
| 3.115 | 5.0 | 930 | 1.6732 | 5.8295 | 59.7346 | |
|
| 1.8706 | 6.0 | 1116 | 1.6301 | 6.4389 | 60.9085 | |
|
| 1.8706 | 7.0 | 1302 | 1.6002 | 6.6498 | 60.4191 | |
|
| 1.8706 | 8.0 | 1488 | 1.5792 | 6.8315 | 60.2721 | |
|
| 1.7133 | 9.0 | 1674 | 1.5680 | 7.1239 | 60.5609 | |
|
| 1.7133 | 10.0 | 1860 | 1.5644 | 7.1794 | 60.0222 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
