---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: fr_childes_13
  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. -->

# fr_childes_13

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: 1.8321

## 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: 13
- 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        | 2.5   | 2000   | 7.2410          |
| 7.2222        | 5.0   | 4000   | 5.9683          |
| 7.2222        | 7.5   | 6000   | 5.8241          |
| 5.6899        | 10.0  | 8000   | 5.7266          |
| 5.6899        | 12.5  | 10000  | 5.6300          |
| 5.4663        | 15.0  | 12000  | 5.5524          |
| 5.4663        | 17.5  | 14000  | 5.5122          |
| 5.3077        | 20.0  | 16000  | 5.4600          |
| 5.3077        | 22.5  | 18000  | 5.4015          |
| 5.1915        | 25.0  | 20000  | 5.3367          |
| 5.1915        | 27.5  | 22000  | 5.1496          |
| 4.8173        | 30.0  | 24000  | 4.0808          |
| 4.8173        | 32.5  | 26000  | 3.3695          |
| 3.387         | 35.0  | 28000  | 3.0722          |
| 3.387         | 37.5  | 30000  | 2.8992          |
| 2.8035        | 40.0  | 32000  | 2.7279          |
| 2.8035        | 42.5  | 34000  | 2.6168          |
| 2.531         | 45.0  | 36000  | 2.5570          |
| 2.531         | 47.5  | 38000  | 2.4636          |
| 2.3359        | 50.0  | 40000  | 2.4193          |
| 2.3359        | 52.5  | 42000  | 2.3528          |
| 2.1893        | 55.0  | 44000  | 2.2999          |
| 2.1893        | 57.5  | 46000  | 2.2412          |
| 2.0715        | 60.0  | 48000  | 2.1982          |
| 2.0715        | 62.5  | 50000  | 2.1534          |
| 1.974         | 65.0  | 52000  | 2.1156          |
| 1.974         | 67.5  | 54000  | 2.1153          |
| 1.9016        | 70.0  | 56000  | 2.0625          |
| 1.9016        | 72.5  | 58000  | 2.0274          |
| 1.8403        | 75.0  | 60000  | 2.0366          |
| 1.8403        | 77.5  | 62000  | 1.9956          |
| 1.7872        | 80.0  | 64000  | 1.9750          |
| 1.7872        | 82.5  | 66000  | 1.9521          |
| 1.7439        | 85.0  | 68000  | 1.9579          |
| 1.7439        | 87.5  | 70000  | 1.9302          |
| 1.7084        | 90.0  | 72000  | 1.9384          |
| 1.7084        | 92.5  | 74000  | 1.9067          |
| 1.6752        | 95.0  | 76000  | 1.9239          |
| 1.6752        | 97.5  | 78000  | 1.8918          |
| 1.6482        | 100.0 | 80000  | 1.8803          |
| 1.6482        | 102.5 | 82000  | 1.8641          |
| 1.6209        | 105.0 | 84000  | 1.8514          |
| 1.6209        | 107.5 | 86000  | 1.8467          |
| 1.5966        | 110.0 | 88000  | 1.8564          |
| 1.5966        | 112.5 | 90000  | 1.8653          |
| 1.5815        | 115.0 | 92000  | 1.8481          |
| 1.5815        | 117.5 | 94000  | 1.8392          |
| 1.5695        | 120.0 | 96000  | 1.8283          |
| 1.5695        | 122.5 | 98000  | 1.8264          |
| 1.5583        | 125.0 | 100000 | 1.8321          |


### Framework versions

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