language: | |
- en | |
- ro | |
license: apache-2.0 | |
tags: | |
- translation | |
- wmt16 | |
- Lvxue | |
datasets: | |
- wmt16 | |
metrics: | |
- sacrebleu | |
- bleu | |
model-index: | |
- name: Lvxue/finetuned-mt5-small-10epoch | |
results: | |
- task: | |
type: translation | |
name: Translation | |
dataset: | |
name: wmt16 | |
type: wmt16 | |
config: ro-en | |
split: test | |
metrics: | |
- type: bleu | |
value: 6.0012 | |
name: BLEU | |
verified: true | |
- type: loss | |
value: 1.7407585382461548 | |
name: loss | |
verified: true | |
- type: gen_len | |
value: 18.2281 | |
name: gen_len | |
verified: true | |
- task: | |
type: translation | |
name: Translation | |
dataset: | |
name: wmt16 | |
type: wmt16 | |
config: cs-en | |
split: train | |
metrics: | |
- type: bleu | |
value: 0.4125 | |
name: BLEU | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTUxNmNhNjY2Nzk3ZTRkOTM0ZjQ4ZDI2ZTZkZTBkMzBkYjc1Y2EyNmVlOWEzYjc3ZjIzOTA5MDk4M2RiMzgxMyIsInZlcnNpb24iOjF9.XzXIZo3AlYuFeaJwBcHJPFML4Um4MER4XbL3RDuwwZeOMDnqnMfspLcrbyvozyZjSC8JWWvpgJ192JflgDv1Cw | |
- type: loss | |
value: 6.76282262802124 | |
name: loss | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzI5ZDZkYzQxYTA3YzJjZWY0OWNhOGQ2YTIzOGJmMmY4NDQ4M2Y2ZTJmMWZiNWY0N2Y3Y2VjNDU4ZWMwZTM2OSIsInZlcnNpb24iOjF9.5yJy4N0hC3myiT0Q8kKNnKLbZnRiilaQA3dDxTNm7Sz-rNZqMTs9qUsX5S6Y4S4_hWD1Tny2xJle6o33IMDXBw | |
- type: gen_len | |
value: 18.4717 | |
name: gen_len | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDdmZGE4ZTg5MGI1MmE3NjFmYzE2MGMyNWJiNGFiYjUwNWRjYjExNmUyNDQ2ZGY1OWJkNWQ4M2U2ZGVmMDYwMSIsInZlcnNpb24iOjF9.YX8bVSFJKTvCyeWRrgwt3W9EVbL9IcC6T4n2LGkz1AHc2aB3e-l8Wwg_yzfI_W3HBmVDveLGw6I7qUg1YgCcAA | |
<!-- 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. --> | |
# finetuned-mt5-small-10epoch | |
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the wmt16 ro-en dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 1.7274 | |
## 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: 5e-05 | |
- train_batch_size: 48 | |
- eval_batch_size: 32 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 10.0 | |
### Training results | |
### Framework versions | |
- Transformers 4.20.1 | |
- Pytorch 1.12.0+cu102 | |
- Datasets 2.3.2 | |
- Tokenizers 0.12.1 | |