metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-counterfactual-babylm-indef-removal-seed_1024-1e-4
results: []
smolm-autoreg-bpe-counterfactual-babylm-indef-removal-seed_1024-1e-4
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.4350
- Accuracy: 0.4063
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: 32
- eval_batch_size: 64
- seed: 1024
- 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 |
|---|---|---|---|---|
| 4.0569 | 1.0 | 18595 | 4.2925 | 0.3078 |
| 3.5613 | 2.0 | 37190 | 3.7467 | 0.3633 |
| 3.3894 | 3.0 | 55785 | 3.5963 | 0.3802 |
| 3.2856 | 4.0 | 74380 | 3.5303 | 0.3880 |
| 3.2222 | 5.0 | 92975 | 3.4793 | 0.3935 |
| 3.1693 | 6.0 | 111570 | 3.4552 | 0.3967 |
| 3.13 | 7.0 | 130165 | 3.4350 | 0.3992 |
| 3.0982 | 8.0 | 148760 | 3.4201 | 0.4011 |
| 3.0659 | 9.0 | 167355 | 3.4224 | 0.4025 |
| 3.0359 | 10.0 | 185950 | 3.4172 | 0.4028 |
| 3.0157 | 11.0 | 204545 | 3.4154 | 0.4036 |
| 2.9936 | 12.0 | 223140 | 3.4075 | 0.4043 |
| 2.9676 | 13.0 | 241735 | 3.4182 | 0.4048 |
| 2.9444 | 14.0 | 260330 | 3.4119 | 0.4057 |
| 2.9265 | 15.0 | 278925 | 3.4089 | 0.4056 |
| 2.9105 | 16.0 | 297520 | 3.4230 | 0.4058 |
| 2.8892 | 17.0 | 316115 | 3.4260 | 0.4060 |
| 2.8774 | 18.0 | 334710 | 3.4290 | 0.4063 |
| 2.8592 | 19.0 | 353305 | 3.4288 | 0.4065 |
| 2.8472 | 20.0 | 371900 | 3.4350 | 0.4063 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.14.1