smolm-autoreg-bpe-counterfactual-babylm-indef-removal-3e-4 – AI Model by kanishka | AlphaNeural AI

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kanishka/
smolm-autoreg-bpe-counterfactual-babylm-indef-removal-3e-4

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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smolm-autoreg-bpe-counterfactual-babylm-indef-removal-3e-4

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.4106
Accuracy: 0.4085

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
3.7378	1.0	18595	3.8944	0.3462
3.432	2.0	37190	3.6205	0.3749
3.292	3.0	55785	3.4884	0.3891
3.2105	4.0	74380	3.4225	0.3963
3.1475	5.0	92975	3.4046	0.3996
3.0992	6.0	111570	3.4007	0.4017
3.0631	7.0	130165	3.3653	0.4045
3.0291	8.0	148760	3.3618	0.4058
3.0016	9.0	167355	3.3573	0.4066
2.9751	10.0	185950	3.3544	0.4072
2.9479	11.0	204545	3.3545	0.4072
2.9272	12.0	223140	3.3669	0.4073
2.906	13.0	241735	3.3645	0.4082
2.8863	14.0	260330	3.3630	0.4088
2.8656	15.0	278925	3.3719	0.4092
2.8463	16.0	297520	3.3868	0.4083
2.8239	17.0	316115	3.3830	0.4089
2.8067	18.0	334710	3.3937	0.4089
2.7886	19.0	353305	3.4057	0.4085
2.7732	20.0	371900	3.4106	0.4085

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.12.0
Tokenizers 0.14.1