metadata
tags:
- generated_from_trainer
datasets:
- kanishka/counterfactual_babylm_aann_dtanns
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-counterfactual_babylm_aann_dtanns-3e-4
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: kanishka/counterfactual_babylm_aann_dtanns
type: kanishka/counterfactual_babylm_aann_dtanns
metrics:
- name: Accuracy
type: accuracy
value: 0.40909125110867195
smolm-autoreg-bpe-counterfactual_babylm_aann_dtanns-3e-4
This model was trained from scratch on the kanishka/counterfactual_babylm_aann_dtanns dataset. It achieves the following results on the evaluation set:
- Loss: 3.4364
- Accuracy: 0.4091
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: 0.0003
- 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 |
|---|---|---|---|---|
| 3.7414 | 1.0 | 18595 | 3.9225 | 0.3456 |
| 3.4399 | 2.0 | 37190 | 3.6349 | 0.3753 |
| 3.2964 | 3.0 | 55785 | 3.5194 | 0.3889 |
| 3.2043 | 4.0 | 74380 | 3.4749 | 0.3959 |
| 3.148 | 5.0 | 92975 | 3.4184 | 0.3999 |
| 3.0956 | 6.0 | 111570 | 3.4167 | 0.4026 |
| 3.0622 | 7.0 | 130165 | 3.3907 | 0.4053 |
| 3.031 | 8.0 | 148760 | 3.3933 | 0.4054 |
| 3.0007 | 9.0 | 167355 | 3.3778 | 0.4071 |
| 2.9738 | 10.0 | 185950 | 3.3897 | 0.4077 |
| 2.9478 | 11.0 | 204545 | 3.3942 | 0.4075 |
| 2.9273 | 12.0 | 223140 | 3.3858 | 0.4081 |
| 2.9087 | 13.0 | 241735 | 3.3945 | 0.4085 |
| 2.8808 | 14.0 | 260330 | 3.4029 | 0.4087 |
| 2.8627 | 15.0 | 278925 | 3.4063 | 0.4091 |
| 2.8411 | 16.0 | 297520 | 3.4120 | 0.4090 |
| 2.8248 | 17.0 | 316115 | 3.4117 | 0.4091 |
| 2.8039 | 18.0 | 334710 | 3.4248 | 0.4091 |
| 2.7872 | 19.0 | 353305 | 3.4300 | 0.4091 |
| 2.7729 | 20.0 | 371900 | 3.4364 | 0.4091 |
Framework versions
- Transformers 4.38.0
- Pytorch 2.3.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2