|
--- |
|
library_name: transformers |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: rerun-09-19-2024-experiment-distill-tree-babylm2024-95-0 |
|
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. --> |
|
|
|
# rerun-09-19-2024-experiment-distill-tree-babylm2024-95-0 |
|
|
|
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.1795 |
|
|
|
## 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: 0.00025 |
|
- train_batch_size: 64 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 200 |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 7.4353 | 1.0 | 2065 | 7.8981 | |
|
| 4.0698 | 2.0 | 4130 | 4.4431 | |
|
| 3.1412 | 3.0 | 6195 | 3.5357 | |
|
| 2.7484 | 4.0 | 8260 | 3.0654 | |
|
| 2.3467 | 5.0 | 10325 | 2.7863 | |
|
| 2.1842 | 6.0 | 12390 | 2.5208 | |
|
| 1.9699 | 7.0 | 14455 | 2.3362 | |
|
| 1.8641 | 8.0 | 16520 | 2.2376 | |
|
| 1.7717 | 9.0 | 18585 | 2.1896 | |
|
| 1.8056 | 10.0 | 20650 | 2.1795 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.45.0.dev0 |
|
- Pytorch 2.4.0+cu121 |
|
- Tokenizers 0.19.1 |
|
|
