metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: de_childes_30
results: []
de_childes_30
This model is a fine-tuned version of 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