---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: de_childes_42
  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. -->

# de_childes_42

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: 2.6072

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40000
- training_steps: 100000

### Training results

| Training Loss | Epoch   | Step   | Validation Loss |
|:-------------:|:-------:|:------:|:---------------:|
| No log        | 1.5021  | 2000   | 7.5052          |
| 7.4063        | 3.0041  | 4000   | 6.4338          |
| 7.4063        | 4.5062  | 6000   | 6.3051          |
| 6.0672        | 6.0083  | 8000   | 6.1663          |
| 6.0672        | 7.5103  | 10000  | 6.0952          |
| 5.8691        | 9.0124  | 12000  | 6.0122          |
| 5.8691        | 10.5145 | 14000  | 5.9512          |
| 5.7209        | 12.0165 | 16000  | 5.8691          |
| 5.7209        | 13.5186 | 18000  | 5.8529          |
| 5.6105        | 15.0207 | 20000  | 5.7965          |
| 5.6105        | 16.5227 | 22000  | 5.7404          |
| 5.5302        | 18.0248 | 24000  | 5.7424          |
| 5.5302        | 19.5268 | 26000  | 5.7256          |
| 5.4587        | 21.0289 | 28000  | 5.6831          |
| 5.4587        | 22.5310 | 30000  | 5.3966          |
| 5.0899        | 24.0330 | 32000  | 4.7042          |
| 5.0899        | 25.5351 | 34000  | 4.2317          |
| 4.0988        | 27.0372 | 36000  | 3.9093          |
| 4.0988        | 28.5494 | 38000  | 3.7496          |
| 3.555         | 30.0514 | 40000  | 3.5961          |
| 3.555         | 31.5535 | 42000  | 3.4542          |
| 3.2522        | 33.0556 | 44000  | 3.3300          |
| 3.2522        | 34.5576 | 46000  | 3.2830          |
| 3.0484        | 36.0597 | 48000  | 3.1864          |
| 3.0484        | 37.5618 | 50000  | 3.1189          |
| 2.9026        | 39.0638 | 52000  | 3.0475          |
| 2.9026        | 40.5659 | 54000  | 2.9933          |
| 2.7874        | 42.0680 | 56000  | 2.9411          |
| 2.7874        | 43.5700 | 58000  | 2.9355          |
| 2.7001        | 45.0721 | 60000  | 2.8913          |
| 2.7001        | 46.5742 | 62000  | 2.8601          |
| 2.6298        | 48.0762 | 64000  | 2.8227          |
| 2.6298        | 49.5783 | 66000  | 2.8202          |
| 2.5722        | 51.0804 | 68000  | 2.7874          |
| 2.5722        | 52.5824 | 70000  | 2.7716          |
| 2.523         | 54.0845 | 72000  | 2.7363          |
| 2.523         | 55.5866 | 74000  | 2.7212          |
| 2.4788        | 57.0886 | 76000  | 2.6944          |
| 2.4788        | 58.5907 | 78000  | 2.6761          |
| 2.4466        | 60.0928 | 80000  | 2.6705          |
| 2.4466        | 61.5948 | 82000  | 2.6551          |
| 2.4122        | 63.0969 | 84000  | 2.6368          |
| 2.4122        | 64.5989 | 86000  | 2.6424          |
| 2.3832        | 66.1010 | 88000  | 2.6345          |
| 2.3832        | 67.6031 | 90000  | 2.6295          |
| 2.3592        | 69.1051 | 92000  | 2.6247          |
| 2.3592        | 70.6072 | 94000  | 2.6303          |
| 2.347         | 72.1093 | 96000  | 2.5866          |
| 2.347         | 73.6113 | 98000  | 2.6067          |
| 2.3336        | 75.1134 | 100000 | 2.6072          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1