File size: 1,577 Bytes
1311c7f 7e06744 71d4064 7e06744 1311c7f 7e06744 71d4064 7e06744 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
---
license: apache-2.0
language:
- en
- es
base_model: vgaraujov/bart-base-spanish
tags:
- generated_from_trainer
datasets:
- vgaraujov/wmt13
metrics:
- bleu
model-index:
- name: bart-base-translation-en-es
results:
- task:
name: Translation
type: translation
dataset:
name: vgaraujov/wmt13 es-en
type: vgaraujov/wmt13
config: es-en
split: validation
args: es-en
metrics:
- name: Bleu
type: bleu
value: 30.2194
widget:
- text: Hey! I am BARTO for translation.
---
<!-- 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. -->
# BARTO (base-sized model) for en-es translation
This model is a fine-tuned version of [BARTO](https://huggingface.co/vgaraujov/bart-base-spanish) on a small portion of [WMT13](https://huggingface.co/datasets/vgaraujov/wmt13) es-en dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7356
- Bleu: 30.2194
- Gen Len: 30.2714
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.005
- train_batch_size: 96
- eval_batch_size: 96
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 384
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40000
- training_steps: 5000
### Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
|