|
--- |
|
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: [] |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# mbart-ft-sci-ms-en-hi |
|
|
|
This model is a fine-tuned version of [aparajitha/mbart-ft-sci-ms-en](https://huggingface.co./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 |
|
|
