---
library_name: transformers
base_model: indictrans-en-ne-checkpoint/checkpoint-732
tags:
- generated_from_trainer
model-index:
- name: indictrans-en-ne-checkpoint
  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

This model is a fine-tuned version of [indictrans-en-ne-checkpoint/checkpoint-732](https://huggingface.co/indictrans-en-ne-checkpoint/checkpoint-732) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 10.7601

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 9.8002        | 0.8189 | 300  | 10.7568         |
| 9.734         | 1.6378 | 600  | 10.7586         |
| 9.7215        | 2.4567 | 900  | 10.7601         |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.2.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1