childes_mlm_sent
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0607
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: 5e-05
- 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: 100000
- training_steps: 400000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.2398 | 0.2170 | 2000 | 5.5312 |
| 5.1243 | 0.4340 | 4000 | 4.7005 |
| 4.5492 | 0.6510 | 6000 | 4.2433 |
| 4.1988 | 0.8680 | 8000 | 3.9411 |
| 3.8698 | 1.0850 | 10000 | 3.7078 |
| 3.6366 | 1.3020 | 12000 | 3.5168 |
| 3.5082 | 1.5190 | 14000 | 3.3858 |
| 3.4068 | 1.7360 | 16000 | 3.2682 |
| 3.3061 | 1.9530 | 18000 | 3.2611 |
| 3.2313 | 2.1700 | 20000 | 3.1608 |
| 3.2031 | 2.3870 | 22000 | 3.1178 |
| 3.1597 | 2.6040 | 24000 | 3.0884 |
| 3.1589 | 2.8210 | 26000 | 3.0969 |
| 3.113 | 3.0380 | 28000 | 3.0653 |
| 3.1082 | 3.2550 | 30000 | 3.0646 |
| 3.1023 | 3.4720 | 32000 | 3.0227 |
| 3.0771 | 3.6890 | 34000 | 3.0531 |
| 3.1092 | 3.9060 | 36000 | 3.0444 |
| 3.0432 | 4.1230 | 38000 | 3.0607 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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