smolm-autoreg-bpe-counterfactual-babylm-pipps_and_keys_to_it_all_removal-1e-3 – AI Model by kanishka | AlphaNeural AI

You can deploy this model and start earning money today!

kanishka/
smolm-autoreg-bpe-counterfactual-babylm-pipps_and_keys_to_it_all_removal-1e-3

like

0

text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

Views

No views yet

smolm-autoreg-bpe-counterfactual-babylm-pipps_and_keys_to_it_all_removal-1e-3

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

Loss: 3.4044
Accuracy: 0.4121

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
3.6033	1.0	18594	3.7617	0.3597
3.3871	2.0	37188	3.5764	0.3799
3.2586	3.0	55782	3.4624	0.3930
3.1754	4.0	74376	3.4106	0.3990
3.1217	5.0	92970	3.3969	0.4018
3.0787	6.0	111564	3.3827	0.4039
3.0425	7.0	130158	3.3784	0.4064
3.0097	8.0	148752	3.3697	0.4087
2.9897	9.0	167346	3.3604	0.4095
2.9594	10.0	185940	3.3522	0.4102
2.9365	11.0	204534	3.3592	0.4107
2.9155	12.0	223128	3.3696	0.4101
2.8933	13.0	241722	3.3536	0.4123
2.8735	14.0	260316	3.3642	0.4126
2.8504	15.0	278910	3.3732	0.4118
2.8335	16.0	297504	3.3768	0.4123
2.8118	17.0	316098	3.3824	0.4121
2.7972	18.0	334692	3.3803	0.4125
2.7771	19.0	353286	3.3991	0.4119
2.7615	20.0	371880	3.4044	0.4121

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.12.0
Tokenizers 0.14.1