en-hu-UFAL-medical / README.md
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---
language:
- en
- hu
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: en-hu
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. -->
# en-hu
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2872
- Bleu: 32.2489
- Gen Len: 26.4747
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
### Training results
### Framework versions
- Transformers 4.29.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.11.0
- Tokenizers 0.13.3