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Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
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---
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
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzAwOGM0NWI2ODYxNTcyOWZmZGYxMzZmM2RhZjYzZTc4ZDk4MTBkYzJiNjY3MjYxNDI3ZTBjYmY0Mzc4NGZhOCIsInZlcnNpb24iOjF9.kx434Ckp7xt_qfxxaJ2XTXJjUUDbNUCY-gRDCSe_FPeVec69Fap3NhL4u9hZioaNbTqpXxNwMHGRnkgjJ1jHAw
- type: loss
value: 1.7407585382461548
name: loss
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGRhMjYwYTY4YzNhNjQ0ZjlhM2IxMDQ1OWZjOWRmZjNhNGRhODc1NmE3Y2M4ODg3NzRjZWU2ZDU1MWZlZGUxNSIsInZlcnNpb24iOjF9.IHuQPWQp4xxuAOVvkmFdJQGa4uqBYq5_aS0uiK3uqTgfxSnxqFawLfgE2ou5RnRHFPiEQ4h5m_DDAjZBxBSLAA
- type: gen_len
value: 18.2281
name: gen_len
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2ZiYTA5MzBkZDExY2FlNThjZDAxYmJiZjI2NjkzMDU2OTRjOGU1NjNiNjNmNGJkODk4MTg0YmI1Y2U5ZTY0YiIsInZlcnNpb24iOjF9.5XEsIvtfSnmnEvQg3GVVmVcURti_Jw3hSLQryeoAfgdLw6GEqKqIcu-WHsWnc6-9EDMfLQahrQneNlKpe8xDDw
---
<!-- 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