---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: de_childes_30
  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_30

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: 2.6056

## 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: 30
- 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   | 7.4721          |
| 7.3851        | 3.0041  | 4000   | 6.4176          |
| 7.3851        | 4.5062  | 6000   | 6.3026          |
| 6.0706        | 6.0083  | 8000   | 6.2009          |
| 6.0706        | 7.5103  | 10000  | 6.1058          |
| 5.8733        | 9.0124  | 12000  | 6.0330          |
| 5.8733        | 10.5145 | 14000  | 5.9681          |
| 5.723         | 12.0165 | 16000  | 5.8789          |
| 5.723         | 13.5186 | 18000  | 5.8198          |
| 5.6127        | 15.0207 | 20000  | 5.8021          |
| 5.6127        | 16.5227 | 22000  | 5.7662          |
| 5.5325        | 18.0248 | 24000  | 5.7319          |
| 5.5325        | 19.5268 | 26000  | 5.7032          |
| 5.4632        | 21.0289 | 28000  | 5.7046          |
| 5.4632        | 22.5310 | 30000  | 5.5708          |
| 5.2633        | 24.0330 | 32000  | 4.9945          |
| 5.2633        | 25.5351 | 34000  | 4.5232          |
| 4.3386        | 27.0372 | 36000  | 4.1401          |
| 4.3386        | 28.5392 | 38000  | 3.8578          |
| 3.6823        | 30.0413 | 40000  | 3.6679          |
| 3.6823        | 31.5434 | 42000  | 3.5397          |
| 3.3424        | 33.0454 | 44000  | 3.4013          |
| 3.3424        | 34.5475 | 46000  | 3.3154          |
| 3.1266        | 36.0496 | 48000  | 3.2563          |
| 3.1266        | 37.5516 | 50000  | 3.1665          |
| 2.9693        | 39.0537 | 52000  | 3.1341          |
| 2.9693        | 40.5558 | 54000  | 3.0564          |
| 2.8544        | 42.0578 | 56000  | 3.0329          |
| 2.8544        | 43.5599 | 58000  | 2.9552          |
| 2.758         | 45.0620 | 60000  | 2.9492          |
| 2.758         | 46.5640 | 62000  | 2.8937          |
| 2.684         | 48.0661 | 64000  | 2.8662          |
| 2.684         | 49.5682 | 66000  | 2.8495          |
| 2.6223        | 51.0702 | 68000  | 2.8253          |
| 2.6223        | 52.5723 | 70000  | 2.7846          |
| 2.5704        | 54.0744 | 72000  | 2.7910          |
| 2.5704        | 55.5764 | 74000  | 2.7503          |
| 2.5235        | 57.0785 | 76000  | 2.7392          |
| 2.5235        | 58.5805 | 78000  | 2.7223          |
| 2.4865        | 60.0826 | 80000  | 2.7142          |
| 2.4865        | 61.5847 | 82000  | 2.7068          |
| 2.4549        | 63.0867 | 84000  | 2.7050          |
| 2.4549        | 64.5888 | 86000  | 2.6745          |
| 2.427         | 66.0909 | 88000  | 2.6638          |
| 2.427         | 67.5929 | 90000  | 2.6596          |
| 2.4092        | 69.0950 | 92000  | 2.6478          |
| 2.4092        | 70.5971 | 94000  | 2.6531          |
| 2.3873        | 72.0991 | 96000  | 2.6315          |
| 2.3873        | 73.6012 | 98000  | 2.6405          |
| 2.3734        | 75.1033 | 100000 | 2.6056          |


### Framework versions

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