---
library_name: transformers
license: mit
base_model: ai4bharat/indictrans2-en-indic-dist-200M
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: tmp-test-indictrans
  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. -->

# tmp-test-indictrans

This model is a fine-tuned version of [ai4bharat/indictrans2-en-indic-dist-200M](https://huggingface.co/ai4bharat/indictrans2-en-indic-dist-200M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.7067
- Bleu: 26.3133
- Chrf: 53.2344

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Chrf    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 7.0819        | 0.4   | 20   | 7.0516          | 25.3893 | 52.3501 |
| 6.3118        | 0.8   | 40   | 6.7067          | 26.3133 | 53.2344 |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 3.6.0
- Tokenizers 0.21.4