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---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: 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. -->
# 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: 5.3390
## 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
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:--------:|:------:|:---------------:|
| No log | 2.0964 | 2000 | 7.0908 |
| 6.9765 | 4.1929 | 4000 | 5.8746 |
| 6.9765 | 6.2893 | 6000 | 5.5441 |
| 5.2182 | 8.3857 | 8000 | 5.2788 |
| 5.2182 | 10.4822 | 10000 | 5.0992 |
| 4.7379 | 12.5786 | 12000 | 4.9710 |
| 4.7379 | 14.6751 | 14000 | 4.8759 |
| 4.4249 | 16.7715 | 16000 | 4.8005 |
| 4.4249 | 18.8679 | 18000 | 4.7436 |
| 4.1842 | 20.9644 | 20000 | 4.6922 |
| 4.1842 | 23.0608 | 22000 | 4.6481 |
| 3.9843 | 25.1572 | 24000 | 4.6155 |
| 3.9843 | 27.2537 | 26000 | 4.5982 |
| 3.8181 | 29.3501 | 28000 | 4.5845 |
| 3.8181 | 31.4465 | 30000 | 4.5811 |
| 3.6751 | 33.5430 | 32000 | 4.5796 |
| 3.6751 | 35.6394 | 34000 | 4.5828 |
| 3.5484 | 37.7358 | 36000 | 4.5869 |
| 3.5484 | 39.8323 | 38000 | 4.5976 |
| 3.4328 | 41.9287 | 40000 | 4.6090 |
| 3.4328 | 44.0252 | 42000 | 4.6298 |
| 3.31 | 46.1216 | 44000 | 4.6598 |
| 3.31 | 48.2180 | 46000 | 4.6983 |
| 3.1908 | 50.3145 | 48000 | 4.7263 |
| 3.1908 | 52.4109 | 50000 | 4.7624 |
| 3.0864 | 54.5073 | 52000 | 4.7913 |
| 3.0864 | 56.6038 | 54000 | 4.8263 |
| 2.993 | 58.7002 | 56000 | 4.8538 |
| 2.993 | 60.7966 | 58000 | 4.8770 |
| 2.9108 | 62.8931 | 60000 | 4.9097 |
| 2.9108 | 64.9895 | 62000 | 4.9486 |
| 2.8352 | 67.0860 | 64000 | 4.9929 |
| 2.8352 | 69.1824 | 66000 | 5.0339 |
| 2.7677 | 71.2788 | 68000 | 5.0516 |
| 2.7677 | 73.3753 | 70000 | 5.0869 |
| 2.708 | 75.4717 | 72000 | 5.1078 |
| 2.708 | 77.5681 | 74000 | 5.1317 |
| 2.6552 | 79.6646 | 76000 | 5.1598 |
| 2.6552 | 81.7610 | 78000 | 5.1774 |
| 2.6082 | 83.8574 | 80000 | 5.1928 |
| 2.6082 | 85.9539 | 82000 | 5.2273 |
| 2.5633 | 88.0503 | 84000 | 5.2497 |
| 2.5633 | 90.1468 | 86000 | 5.2644 |
| 2.5227 | 92.2432 | 88000 | 5.2840 |
| 2.5227 | 94.3396 | 90000 | 5.2921 |
| 2.4873 | 96.4361 | 92000 | 5.3118 |
| 2.4873 | 98.5325 | 94000 | 5.3205 |
| 2.458 | 100.6289 | 96000 | 5.3308 |
| 2.458 | 102.7254 | 98000 | 5.3365 |
| 2.4331 | 104.8218 | 100000 | 5.3390 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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