File size: 1,605 Bytes
1a8aa11 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
---
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: 2.4847
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 274 | 2.6303 |
| 2.7121 | 2.0 | 548 | 2.5228 |
| 2.7121 | 3.0 | 822 | 2.4998 |
| 2.2908 | 4.0 | 1096 | 2.4780 |
| 2.2908 | 5.0 | 1370 | 2.4805 |
| 2.1274 | 6.0 | 1644 | 2.4847 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.3.1.post300
- Datasets 2.19.1
- Tokenizers 0.19.1
|