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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- opus100
metrics:
- bleu
model-index:
- name: GenzTranscribe-en-hi
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: opus100
type: opus100
config: en-hi
split: test
args: en-hi
metrics:
- name: Bleu
type: bleu
value: 11.6016
---
<!-- 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. -->
# GenzTranscribe-en-hi
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus100 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2835
- Bleu: 11.6016
- Gen Len: 14.765
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.2859 | 1.0 | 33395 | 0.2898 | 10.7407 | 14.7245 |
| 0.2733 | 2.0 | 66790 | 0.2835 | 11.6016 | 14.765 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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