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

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kanishka/
smolm-autoreg-bpe-counterfactual-babylm-pipps_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-pipps_removal-3e-4

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

Loss: 3.4164
Accuracy: 0.4086

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
3.7379	1.0	18593	3.8927	0.3460
3.4306	2.0	37186	3.6246	0.3756
3.2928	3.0	55779	3.5079	0.3896
3.2052	4.0	74372	3.4666	0.3954
3.1506	5.0	92965	3.4243	0.3988
3.0987	6.0	111558	3.4049	0.4024
3.0619	7.0	130151	3.4011	0.4031
3.0302	8.0	148744	3.3735	0.4048
3.0016	9.0	167337	3.3734	0.4064
2.9716	10.0	185930	3.3907	0.4059
2.9474	11.0	204523	3.3870	0.4074
2.9295	12.0	223116	3.3856	0.4074
2.9058	13.0	241709	3.4026	0.4073
2.8865	14.0	260302	3.3852	0.4080
2.8616	15.0	278895	3.3852	0.4087
2.8444	16.0	297488	3.3973	0.4082
2.8241	17.0	316081	3.3967	0.4087
2.8071	18.0	334674	3.4008	0.4089
2.7912	19.0	353267	3.4131	0.4085
2.7691	20.0	371860	3.4164	0.4086

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.12.0
Tokenizers 0.14.1