metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-counterfactual-babylm-pipps_10k-1e-3
results: []
smolm-autoreg-bpe-counterfactual-babylm-pipps_10k-1e-3
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3378
- Accuracy: 0.4121
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: 42
- 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 |
|---|---|---|---|---|
| 3.6013 | 1.0 | 18720 | 3.7465 | 0.3588 |
| 3.3867 | 2.0 | 37440 | 3.4883 | 0.3819 |
| 3.2589 | 3.0 | 56160 | 3.4083 | 0.3943 |
| 3.1811 | 4.0 | 74880 | 3.3900 | 0.3986 |
| 3.1273 | 5.0 | 93600 | 3.3351 | 0.4020 |
| 3.0824 | 6.0 | 112320 | 3.3293 | 0.4028 |
| 3.0466 | 7.0 | 131040 | 3.3131 | 0.4065 |
| 3.0117 | 8.0 | 149760 | 3.2990 | 0.4092 |
| 2.9899 | 9.0 | 168480 | 3.2979 | 0.4097 |
| 2.9556 | 10.0 | 187200 | 3.2939 | 0.4105 |
| 2.9395 | 11.0 | 205920 | 3.2948 | 0.4120 |
| 2.9155 | 12.0 | 224640 | 3.3005 | 0.4110 |
| 2.8971 | 13.0 | 243360 | 3.2907 | 0.4126 |
| 2.8777 | 14.0 | 262080 | 3.2993 | 0.4121 |
| 2.8546 | 15.0 | 280800 | 3.2985 | 0.4128 |
| 2.8337 | 16.0 | 299520 | 3.2980 | 0.4130 |
| 2.8153 | 17.0 | 318240 | 3.3254 | 0.4116 |
| 2.799 | 18.0 | 336960 | 3.3345 | 0.4114 |
| 2.7824 | 19.0 | 355680 | 3.3410 | 0.4117 |
| 2.7614 | 20.0 | 374400 | 3.3378 | 0.4121 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.14.1