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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- itihasa
metrics:
- bleu
model-index:
- name: my_sanskrit_model
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: itihasa
type: itihasa
config: Itihasa
split: train
args: Itihasa
metrics:
- name: Bleu
type: bleu
value: 0.2607
---
<!-- 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. -->
# my_sanskrit_model
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: 3.5101
- Bleu: 0.2607
- Gen Len: 18.9973
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 3.9557 | 1.0 | 4698 | 3.7191 | 0.3291 | 18.9973 |
| 3.8243 | 2.0 | 9396 | 3.6068 | 0.2728 | 18.9973 |
| 3.7562 | 3.0 | 14094 | 3.5503 | 0.2911 | 18.9973 |
| 3.7306 | 4.0 | 18792 | 3.5207 | 0.2404 | 18.9973 |
| 3.7003 | 5.0 | 23490 | 3.5101 | 0.2607 | 18.9973 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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