|
--- |
|
library_name: transformers |
|
license: mit |
|
base_model: gpt2 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: sinhala_gpt2 |
|
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. --> |
|
|
|
# sinhala_gpt2 |
|
|
|
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 3.4181 |
|
|
|
## 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: 5e-06 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 64 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 10 |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 12.5768 | 0.0737 | 20 | 11.7031 | |
|
| 10.6016 | 0.1475 | 40 | 10.1428 | |
|
| 9.5592 | 0.2212 | 60 | 8.4000 | |
|
| 7.7086 | 0.2949 | 80 | 6.1398 | |
|
| 6.1288 | 0.3687 | 100 | 5.1259 | |
|
| 5.2551 | 0.4424 | 120 | 4.4283 | |
|
| 4.7127 | 0.5161 | 140 | 4.0241 | |
|
| 4.3572 | 0.5899 | 160 | 3.7673 | |
|
| 4.1243 | 0.6636 | 180 | 3.6012 | |
|
| 3.9714 | 0.7373 | 200 | 3.5126 | |
|
| 3.8867 | 0.8111 | 220 | 3.4489 | |
|
| 3.8334 | 0.8848 | 240 | 3.4256 | |
|
| 3.8204 | 0.9585 | 260 | 3.4181 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.2 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.21.0 |
|
- Tokenizers 0.19.1 |
|
|
