This model was trained from scratch on the kanishka/counterfactual-babylm-only_other_det_removal dataset. It achieves the following results on the evaluation set:

Loss: 3.4419
Accuracy: 0.4081

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
3.7368	1.0	18597	3.9162	0.3452
3.4348	2.0	37194	3.6327	0.3748
3.2919	3.0	55791	3.5084	0.3900
3.2086	4.0	74388	3.4502	0.3956
3.1474	5.0	92985	3.4235	0.3995
3.1012	6.0	111582	3.4031	0.4020
3.0638	7.0	130179	3.4128	0.4030
3.0262	8.0	148776	3.3998	0.4046
3.0016	9.0	167373	3.3731	0.4070
2.9715	10.0	185970	3.4058	0.4062
2.9481	11.0	204567	3.3875	0.4069
2.9243	12.0	223164	3.4070	0.4070
2.9047	13.0	241761	3.4015	0.4079
2.8797	14.0	260358	3.4114	0.4077
2.8651	15.0	278955	3.4072	0.4083
2.8434	16.0	297552	3.4240	0.4075
2.8255	17.0	316149	3.4179	0.4083
2.8036	18.0	334746	3.4256	0.4082
2.7888	19.0	353343	3.4363	0.4083
2.7701	20.0	371940	3.4419	0.4081

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

kanishka/smolm-autoreg-bpe-counterfactual-babylm-only_other_det_removal-3e-4

smolm-autoreg-bpe-counterfactual-babylm-only_other_det_removal-3e-4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kanishka/
smolm-autoreg-bpe-counterfactual-babylm-only_other_det_removal-3e-4