metadata
library_name: transformers
license: mit
base_model: aparajitha/mbart-ft-sci-ms-en
tags:
- generated_from_trainer
model-index:
- name: mbart-ft-sci-ms-en-hi
results: []
mbart-ft-sci-ms-en-hi
This model is a fine-tuned version of aparajitha/mbart-ft-sci-ms-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6383
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3573 | 1.0 | 697 | 2.5705 |
| 2.2029 | 2.0 | 1394 | 2.5586 |
| 2.0362 | 3.0 | 2091 | 2.5785 |
| 1.952 | 4.0 | 2788 | 2.6015 |
| 1.9094 | 5.0 | 3485 | 2.6182 |
| 1.817 | 6.0 | 4182 | 2.6383 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.1.post300
- Datasets 2.19.1
- Tokenizers 0.19.1