metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: de_childes_42
results: []
de_childes_42
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6072
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 | 1.5021 | 2000 | 7.5052 |
| 7.4063 | 3.0041 | 4000 | 6.4338 |
| 7.4063 | 4.5062 | 6000 | 6.3051 |
| 6.0672 | 6.0083 | 8000 | 6.1663 |
| 6.0672 | 7.5103 | 10000 | 6.0952 |
| 5.8691 | 9.0124 | 12000 | 6.0122 |
| 5.8691 | 10.5145 | 14000 | 5.9512 |
| 5.7209 | 12.0165 | 16000 | 5.8691 |
| 5.7209 | 13.5186 | 18000 | 5.8529 |
| 5.6105 | 15.0207 | 20000 | 5.7965 |
| 5.6105 | 16.5227 | 22000 | 5.7404 |
| 5.5302 | 18.0248 | 24000 | 5.7424 |
| 5.5302 | 19.5268 | 26000 | 5.7256 |
| 5.4587 | 21.0289 | 28000 | 5.6831 |
| 5.4587 | 22.5310 | 30000 | 5.3966 |
| 5.0899 | 24.0330 | 32000 | 4.7042 |
| 5.0899 | 25.5351 | 34000 | 4.2317 |
| 4.0988 | 27.0372 | 36000 | 3.9093 |
| 4.0988 | 28.5494 | 38000 | 3.7496 |
| 3.555 | 30.0514 | 40000 | 3.5961 |
| 3.555 | 31.5535 | 42000 | 3.4542 |
| 3.2522 | 33.0556 | 44000 | 3.3300 |
| 3.2522 | 34.5576 | 46000 | 3.2830 |
| 3.0484 | 36.0597 | 48000 | 3.1864 |
| 3.0484 | 37.5618 | 50000 | 3.1189 |
| 2.9026 | 39.0638 | 52000 | 3.0475 |
| 2.9026 | 40.5659 | 54000 | 2.9933 |
| 2.7874 | 42.0680 | 56000 | 2.9411 |
| 2.7874 | 43.5700 | 58000 | 2.9355 |
| 2.7001 | 45.0721 | 60000 | 2.8913 |
| 2.7001 | 46.5742 | 62000 | 2.8601 |
| 2.6298 | 48.0762 | 64000 | 2.8227 |
| 2.6298 | 49.5783 | 66000 | 2.8202 |
| 2.5722 | 51.0804 | 68000 | 2.7874 |
| 2.5722 | 52.5824 | 70000 | 2.7716 |
| 2.523 | 54.0845 | 72000 | 2.7363 |
| 2.523 | 55.5866 | 74000 | 2.7212 |
| 2.4788 | 57.0886 | 76000 | 2.6944 |
| 2.4788 | 58.5907 | 78000 | 2.6761 |
| 2.4466 | 60.0928 | 80000 | 2.6705 |
| 2.4466 | 61.5948 | 82000 | 2.6551 |
| 2.4122 | 63.0969 | 84000 | 2.6368 |
| 2.4122 | 64.5989 | 86000 | 2.6424 |
| 2.3832 | 66.1010 | 88000 | 2.6345 |
| 2.3832 | 67.6031 | 90000 | 2.6295 |
| 2.3592 | 69.1051 | 92000 | 2.6247 |
| 2.3592 | 70.6072 | 94000 | 2.6303 |
| 2.347 | 72.1093 | 96000 | 2.5866 |
| 2.347 | 73.6113 | 98000 | 2.6067 |
| 2.3336 | 75.1134 | 100000 | 2.6072 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1