smolm-autoreg-bpe-counterfactual_babylm_anans_new-3e-4 – AI Model by kanishka | AlphaNeural AI

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kanishka/
smolm-autoreg-bpe-counterfactual_babylm_anans_new-3e-4

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text-generation

generated_from_trainer

kanishka/counterfactual_babylm_anans_new

autotrain_compatible

text-generation-inference

endpoints_compatible

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smolm-autoreg-bpe-counterfactual_babylm_anans_new-3e-4

This model was trained from scratch on the kanishka/counterfactual_babylm_anans_new dataset. It achieves the following results on the evaluation set:

Loss: 3.4257
Accuracy: 0.4096

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
3.7355	1.0	18595	3.8995	0.3461
3.4292	2.0	37190	3.6087	0.3768
3.2927	3.0	55785	3.5001	0.3895
3.1999	4.0	74380	3.4743	0.3952
3.1448	5.0	92975	3.4089	0.3996
3.0986	6.0	111570	3.4166	0.4022
3.0592	7.0	130165	3.4032	0.4036
3.0279	8.0	148760	3.3746	0.4062
2.9977	9.0	167355	3.3709	0.4068
2.9761	10.0	185950	3.3795	0.4071
2.9464	11.0	204545	3.3783	0.4080
2.9234	12.0	223140	3.3832	0.4084
2.9068	13.0	241735	3.3838	0.4087
2.88	14.0	260330	3.3881	0.4091
2.8614	15.0	278925	3.3863	0.4097
2.841	16.0	297520	3.4092	0.4094
2.8225	17.0	316115	3.3966	0.4098
2.8062	18.0	334710	3.4095	0.4096
2.7904	19.0	353305	3.4169	0.4098
2.775	20.0	371900	3.4257	0.4096

Framework versions

Transformers 4.40.1
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.19.1