File size: 1,572 Bytes
f261860 |
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 |
---
base_model: RogerB/kinyaRoberta-large-pretrained-kinyarwanda
tags:
- generated_from_trainer
model-index:
- name: kinyaRoberta-large-pretrained-kinyarwanda-pretrained-kinyarwanda-Gahuza
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. -->
# kinyaRoberta-large-pretrained-kinyarwanda-pretrained-kinyarwanda-Gahuza
This model is a fine-tuned version of [RogerB/kinyaRoberta-large-pretrained-kinyarwanda](https://huggingface.co/RogerB/kinyaRoberta-large-pretrained-kinyarwanda) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1883
## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.7129 | 1.0 | 4000 | 2.3710 |
| 2.3643 | 2.0 | 8000 | 2.2458 |
| 2.2593 | 3.0 | 12000 | 2.1942 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
|