---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: rerun-09-19-2024-experiment-distill-tree-babylm2024-360-2
  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-babylm2024-360-2

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: 1.7367

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 5.146         | 1.0   | 2065  | 5.6306          |
| 3.1038        | 2.0   | 4130  | 3.4614          |
| 2.4109        | 3.0   | 6195  | 2.7661          |
| 2.091         | 4.0   | 8260  | 2.3748          |
| 1.8375        | 5.0   | 10325 | 2.1678          |
| 1.7081        | 6.0   | 12390 | 1.9763          |
| 1.5419        | 7.0   | 14455 | 1.8331          |
| 1.4752        | 8.0   | 16520 | 1.7660          |
| 1.4168        | 9.0   | 18585 | 1.7420          |
| 1.4489        | 10.0  | 20650 | 1.7367          |


### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1