metadata
library_name: transformers
license: mit
base_model: facebook/m2m100_418M
tags:
- generated_from_trainer
metrics:
- bleu
- meteor
model-index:
- name: M2M101
results: []
pipeline_tag: translation
datasets:
- sarch7040/Deshika
praTran
This model is a fine-tuned version of facebook/m2m100_418M on Deshika dataset which is a prallel corpus of Prakrit with their corresponding English Translations It achieves the following results on the evaluation set:
- Loss: 1.3269
- Bleu: 8.4241
- Meteor: 0.3851
- Gen Len: 30.7356
Model Description
praTran is a finetuned version of facebook/m2m100_418M which was trained on a downstream task.
Intended uses
This model is intended to use for academic purposes.
Limitation
The models translation is not that good at this current stage to the language being extremely low resource. Impro
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 | Meteor | Gen Len |
|---|---|---|---|---|---|---|
| No log | 1.0 | 74 | 4.9214 | 2.8147 | 0.2385 | 31.7864 |
| No log | 2.0 | 148 | 3.1788 | 5.0267 | 0.3144 | 29.7695 |
| No log | 3.0 | 222 | 2.0374 | 6.4844 | 0.3399 | 30.2237 |
| No log | 4.0 | 296 | 1.4798 | 7.4708 | 0.3768 | 31.3932 |
| No log | 5.0 | 370 | 1.3269 | 8.4241 | 0.3851 | 30.7356 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0