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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- itihasa
metrics:
- bleu
model-index:
- name: sanskrit-to-english
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: itihasa
type: itihasa
config: Itihasa
split: test
args: Itihasa
metrics:
- name: Bleu
type: bleu
value: 0.288
---
<!-- 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. -->
# sanskrit-to-english
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the itihasa dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5134
- Bleu: 0.288
- Gen Len: 19.0
## 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: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 3.9554 | 1.0 | 4698 | 3.7250 | 0.3772 | 19.0 |
| 3.8183 | 2.0 | 9396 | 3.6050 | 0.3216 | 19.0 |
| 3.746 | 3.0 | 14094 | 3.5497 | 0.2743 | 19.0 |
| 3.7183 | 4.0 | 18792 | 3.5229 | 0.2787 | 19.0 |
| 3.7124 | 5.0 | 23490 | 3.5134 | 0.288 | 19.0 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
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