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---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: rerun-09-19-2024-experiment-distill-tree-babylm2024-95-2
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-babylm2024-95-2
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: 1.9296
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.7491 | 1.0 | 2065 | 7.1713 |
| 3.5932 | 2.0 | 4130 | 4.0031 |
| 2.7887 | 3.0 | 6195 | 3.1857 |
| 2.422 | 4.0 | 8260 | 2.7109 |
| 2.0477 | 5.0 | 10325 | 2.4003 |
| 1.9208 | 6.0 | 12390 | 2.2237 |
| 1.7377 | 7.0 | 14455 | 2.0652 |
| 1.6547 | 8.0 | 16520 | 1.9766 |
| 1.5785 | 9.0 | 18585 | 1.9373 |
| 1.612 | 10.0 | 20650 | 1.9296 |
### Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Tokenizers 0.19.1
|