File size: 1,437 Bytes
aeb4fec 299c9aa 0dc5916 0cf38e7 aeb4fec 0cf38e7 aeb4fec 0cf38e7 aeb4fec 0cf38e7 65704bc aeb4fec 0cf38e7 aeb4fec 0cf38e7 aeb4fec 0cf38e7 aeb4fec 0cf38e7 aeb4fec 0cf38e7 aeb4fec 0cf38e7 aeb4fec 0cf38e7 aeb4fec 0cf38e7 aeb4fec 0cf38e7 aeb4fec 0cf38e7 aeb4fec 0cf38e7 65704bc aeb4fec 0cf38e7 aeb4fec 0cf38e7 |
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 |
---
base_model: HamzaNaser/Dialects-to-MSA-Transformer
library_name: transformers
license: mit
tags:
- generated_from_trainer
model-index:
- name: Dialects-to-MSA-Transformer
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. -->
# Dialects-to-MSA-Transformer
This model is a fine-tuned version of [HamzaNaser/Dialects-to-MSA-Transformer](https://huggingface.co/HamzaNaser/Dialects-to-MSA-Transformer) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5312
- Blue: 46.8565
## 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: 4.5e-05
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Blue |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.3767 | 1.0 | 8695 | 0.5312 | 46.8565 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.16.1
- Tokenizers 0.19.1
|