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---
language:
- en
- he
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- opus100
metrics:
- bleu
model-index:
- name: english-hebrew
results:
- task:
name: Translation
type: translation
dataset:
name: opus100 en-he
type: opus100
config: en-he
split: validation
args: en-he
metrics:
- name: Bleu
type: bleu
value: 38.03154544811525
---
<!-- 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. -->
# english-hebrew
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus100 en-he dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2399
- Bleu: 38.0315
## 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: 4
- eval_batch_size: 4
- 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 4.32.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
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