---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: indictrans-en-ne-checkpoint-1B-2
  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. -->

# indictrans-en-ne-checkpoint-1B-2

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1300
- Bleu: 37.7435
- Chrf: 61.2886
- Num Input Tokens Seen: 196608000

## 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: 0.0002
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: inverse_sqrt
- lr_scheduler_warmup_steps: 500
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Bleu    | Chrf    | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-----------------:|
| 0.1232        | 0.2897 | 1000 | 0.1388          | 36.0713 | 60.2577 | 65536000          |
| 0.1306        | 0.5795 | 2000 | 0.1324          | 37.0443 | 60.8360 | 131072000         |
| 0.1309        | 0.8692 | 3000 | 0.1300          | 37.7435 | 61.2886 | 196608000         |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.2.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1