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

# fr_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: 1.8718

## 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        | 2.5   | 2000   | 7.2323          |
| 7.2283        | 5.0   | 4000   | 5.9768          |
| 7.2283        | 7.5   | 6000   | 5.8268          |
| 5.6892        | 10.0  | 8000   | 5.7444          |
| 5.6892        | 12.5  | 10000  | 5.6708          |
| 5.4694        | 15.0  | 12000  | 5.5713          |
| 5.4694        | 17.5  | 14000  | 5.5270          |
| 5.3091        | 20.0  | 16000  | 5.4483          |
| 5.3091        | 22.5  | 18000  | 5.3926          |
| 5.1707        | 25.0  | 20000  | 5.2315          |
| 5.1707        | 27.5  | 22000  | 4.9059          |
| 4.6992        | 30.0  | 24000  | 4.1680          |
| 4.6992        | 32.5  | 26000  | 3.6409          |
| 3.5699        | 35.0  | 28000  | 3.2064          |
| 3.5699        | 37.5  | 30000  | 3.0010          |
| 2.9074        | 40.0  | 32000  | 2.8509          |
| 2.9074        | 42.5  | 34000  | 2.7339          |
| 2.6073        | 45.0  | 36000  | 2.6182          |
| 2.6073        | 47.5  | 38000  | 2.5613          |
| 2.4166        | 50.0  | 40000  | 2.4946          |
| 2.4166        | 52.5  | 42000  | 2.4197          |
| 2.2667        | 55.0  | 44000  | 2.3687          |
| 2.2667        | 57.5  | 46000  | 2.2802          |
| 2.146         | 60.0  | 48000  | 2.2621          |
| 2.146         | 62.5  | 50000  | 2.2170          |
| 2.0465        | 65.0  | 52000  | 2.1907          |
| 2.0465        | 67.5  | 54000  | 2.1659          |
| 1.969         | 70.0  | 56000  | 2.1273          |
| 1.969         | 72.5  | 58000  | 2.0874          |
| 1.9056        | 75.0  | 60000  | 2.0743          |
| 1.9056        | 77.5  | 62000  | 2.0583          |
| 1.8492        | 80.0  | 64000  | 2.0371          |
| 1.8492        | 82.5  | 66000  | 2.0039          |
| 1.8024        | 85.0  | 68000  | 1.9901          |
| 1.8024        | 87.5  | 70000  | 1.9754          |
| 1.7652        | 90.0  | 72000  | 1.9566          |
| 1.7652        | 92.5  | 74000  | 1.9404          |
| 1.7344        | 95.0  | 76000  | 1.9128          |
| 1.7344        | 97.5  | 78000  | 1.9396          |
| 1.7055        | 100.0 | 80000  | 1.9591          |
| 1.7055        | 102.5 | 82000  | 1.9078          |
| 1.6779        | 105.0 | 84000  | 1.9178          |
| 1.6779        | 107.5 | 86000  | 1.9046          |
| 1.6529        | 110.0 | 88000  | 1.8918          |
| 1.6529        | 112.5 | 90000  | 1.9010          |
| 1.6347        | 115.0 | 92000  | 1.8959          |
| 1.6347        | 117.5 | 94000  | 1.9094          |
| 1.6225        | 120.0 | 96000  | 1.8838          |
| 1.6225        | 122.5 | 98000  | 1.8972          |
| 1.6132        | 125.0 | 100000 | 1.8718          |


### Framework versions

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