|
--- |
|
license: apache-2.0 |
|
base_model: crossroderick/occitan-distilgpt2-medium |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: occitan-distilgpt2-medium |
|
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. --> |
|
|
|
# occitan-distilgpt2-medium |
|
|
|
This model is a fine-tuned version of [crossroderick/occitan-distilgpt2-medium](https://huggingface.co/crossroderick/occitan-distilgpt2-medium) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.3295 |
|
|
|
## 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-05 |
|
- train_batch_size: 12 |
|
- eval_batch_size: 12 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 48 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 3.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 2.4641 | 1.0 | 812 | 2.3464 | |
|
| 2.4197 | 2.0 | 1625 | 2.3336 | |
|
| 2.3988 | 3.0 | 2436 | 2.3295 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.1 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.17.1 |
|
- Tokenizers 0.15.2 |
|
|
