fr_childes_30
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.1358
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 2.5 | 2000 | 6.5797 |
| 6.5322 | 5.0 | 4000 | 4.9212 |
| 6.5322 | 7.5 | 6000 | 4.4626 |
| 4.3003 | 10.0 | 8000 | 4.1895 |
| 4.3003 | 12.5 | 10000 | 4.0062 |
| 3.8146 | 15.0 | 12000 | 3.8694 |
| 3.8146 | 17.5 | 14000 | 3.7580 |
| 3.5419 | 20.0 | 16000 | 3.6665 |
| 3.5419 | 22.5 | 18000 | 3.5861 |
| 3.34 | 25.0 | 20000 | 3.5180 |
| 3.34 | 27.5 | 22000 | 3.4594 |
| 3.173 | 30.0 | 24000 | 3.4096 |
| 3.173 | 32.5 | 26000 | 3.3716 |
| 3.0285 | 35.0 | 28000 | 3.3410 |
| 3.0285 | 37.5 | 30000 | 3.3266 |
| 2.9006 | 40.0 | 32000 | 3.3082 |
| 2.9006 | 42.5 | 34000 | 3.3108 |
| 2.7827 | 45.0 | 36000 | 3.3069 |
| 2.7827 | 47.5 | 38000 | 3.3296 |
| 2.6704 | 50.0 | 40000 | 3.3364 |
| 2.6704 | 52.5 | 42000 | 3.3557 |
| 2.5513 | 55.0 | 44000 | 3.3838 |
| 2.5513 | 57.5 | 46000 | 3.4278 |
| 2.4284 | 60.0 | 48000 | 3.4365 |
| 2.4284 | 62.5 | 50000 | 3.4943 |
| 2.3193 | 65.0 | 52000 | 3.5162 |
| 2.3193 | 67.5 | 54000 | 3.5718 |
| 2.222 | 70.0 | 56000 | 3.5986 |
| 2.222 | 72.5 | 58000 | 3.6408 |
| 2.1359 | 75.0 | 60000 | 3.6674 |
| 2.1359 | 77.5 | 62000 | 3.7169 |
| 2.0591 | 80.0 | 64000 | 3.7447 |
| 2.0591 | 82.5 | 66000 | 3.7906 |
| 1.99 | 85.0 | 68000 | 3.8129 |
| 1.99 | 87.5 | 70000 | 3.8578 |
| 1.9296 | 90.0 | 72000 | 3.8741 |
| 1.9296 | 92.5 | 74000 | 3.9088 |
| 1.8742 | 95.0 | 76000 | 3.9329 |
| 1.8742 | 97.5 | 78000 | 3.9674 |
| 1.825 | 100.0 | 80000 | 3.9837 |
| 1.825 | 102.5 | 82000 | 4.0117 |
| 1.7804 | 105.0 | 84000 | 4.0291 |
| 1.7804 | 107.5 | 86000 | 4.0558 |
| 1.7408 | 110.0 | 88000 | 4.0708 |
| 1.7408 | 112.5 | 90000 | 4.0871 |
| 1.7057 | 115.0 | 92000 | 4.1012 |
| 1.7057 | 117.5 | 94000 | 4.1155 |
| 1.6754 | 120.0 | 96000 | 4.1225 |
| 1.6754 | 122.5 | 98000 | 4.1347 |
| 1.6504 | 125.0 | 100000 | 4.1358 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1