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kanishka/
smolm-autoreg-bpe-counterfactual-babylm-aann-prototypical_only-1e-3

Name: smolm-autoreg-bpe-counterfactual-babylm-aann-prototypical_only-1e-3
Availability: InStock

generated_from_trainer

kanishka/counterfactual_babylm_prototypical_only

model-index

autotrain_compatible

text-generation-inference

endpoints_compatible

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smolm-autoreg-bpe-counterfactual-babylm-aann-prototypical_only-1e-3

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

Loss: 3.3998
Accuracy: 0.4126

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: 0.001
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
3.6032	1.0	18593	3.7810	0.3584
3.3845	2.0	37186	3.5963	0.3798
3.2554	3.0	55779	3.4491	0.3922
3.1823	4.0	74372	3.4299	0.3975
3.126	5.0	92965	3.3983	0.4004
3.0782	6.0	111558	3.4061	0.4035
3.0476	7.0	130151	3.3689	0.4055
3.0126	8.0	148744	3.3660	0.4087
2.9875	9.0	167337	3.3452	0.4100
2.9573	10.0	185930	3.3508	0.4099
2.9399	11.0	204523	3.3627	0.4095
2.9164	12.0	223116	3.3622	0.4103
2.8939	13.0	241709	3.3502	0.4119
2.872	14.0	260302	3.3635	0.4119
2.8506	15.0	278895	3.3691	0.4118
2.8368	16.0	297488	3.3674	0.4131
2.8123	17.0	316081	3.3751	0.4130
2.7955	18.0	334674	3.3827	0.4134
2.7767	19.0	353267	3.3969	0.4124
2.7592	20.0	371860	3.3998	0.4126

Framework versions

Transformers 4.36.0
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0

kanishka/smolm-autoreg-bpe-counterfactual-babylm-aann-prototypical_only-1e-3

smolm-autoreg-bpe-counterfactual-babylm-aann-prototypical_only-1e-3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kanishka/
smolm-autoreg-bpe-counterfactual-babylm-aann-prototypical_only-1e-3