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---
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
|