metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-counterfactual-babylm-all_det_removal-seed_211-1e-3
results: []
smolm-autoreg-bpe-counterfactual-babylm-all_det_removal-seed_211-1e-3
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3932
- Accuracy: 0.4111
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: 0.001
- train_batch_size: 32
- eval_batch_size: 64
- seed: 211
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 32000
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.6069 | 1.0 | 18595 | 3.7979 | 0.3582 |
| 3.385 | 2.0 | 37190 | 3.5575 | 0.3809 |
| 3.2606 | 3.0 | 55785 | 3.4287 | 0.3945 |
| 3.1764 | 4.0 | 74380 | 3.4149 | 0.3985 |
| 3.1251 | 5.0 | 92975 | 3.3929 | 0.4017 |
| 3.0795 | 6.0 | 111570 | 3.3834 | 0.4039 |
| 3.0454 | 7.0 | 130165 | 3.3527 | 0.4071 |
| 3.0185 | 8.0 | 148760 | 3.3456 | 0.4078 |
| 2.9879 | 9.0 | 167355 | 3.3603 | 0.4079 |
| 2.9599 | 10.0 | 185950 | 3.3428 | 0.4097 |
| 2.9382 | 11.0 | 204545 | 3.3425 | 0.4117 |
| 2.9124 | 12.0 | 223140 | 3.3537 | 0.4100 |
| 2.8915 | 13.0 | 241735 | 3.3543 | 0.4104 |
| 2.8713 | 14.0 | 260330 | 3.3478 | 0.4116 |
| 2.8545 | 15.0 | 278925 | 3.3561 | 0.4110 |
| 2.8306 | 16.0 | 297520 | 3.3703 | 0.4106 |
| 2.817 | 17.0 | 316115 | 3.3776 | 0.4109 |
| 2.7938 | 18.0 | 334710 | 3.3861 | 0.4107 |
| 2.7768 | 19.0 | 353305 | 3.3823 | 0.4116 |
| 2.759 | 20.0 | 371900 | 3.3932 | 0.4111 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.14.1