smolm-autoreg-bpe-counterfactual_babylm_anans_new-seed_211-1e-4 – AI Model by kanishka | AlphaNeural AI

You can deploy this model and start earning money today!

kanishka/
smolm-autoreg-bpe-counterfactual_babylm_anans_new-seed_211-1e-4

like

0

text-generation

generated_from_trainer

kanishka/counterfactual_babylm_anans_new

autotrain_compatible

text-generation-inference

endpoints_compatible

Views

No views yet

smolm-autoreg-bpe-counterfactual_babylm_anans_new-seed_211-1e-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: 3.4227
Accuracy: 0.4063

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: 0.0001
train_batch_size: 32
eval_batch_size: 64
seed: 211
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
4.0574	1.0	18595	4.2623	0.3095
3.5744	2.0	37190	3.7410	0.3630
3.3998	3.0	55785	3.5874	0.3791
3.2911	4.0	74380	3.5155	0.3873
3.2246	5.0	92975	3.4782	0.3919
3.1723	6.0	111570	3.4440	0.3962
3.1287	7.0	130165	3.4271	0.3987
3.0994	8.0	148760	3.3990	0.4007
3.0668	9.0	167355	3.4112	0.4018
3.0398	10.0	185950	3.3915	0.4033
3.0097	11.0	204545	3.4067	0.4037
2.9924	12.0	223140	3.4117	0.4039
2.9702	13.0	241735	3.3926	0.4054
2.9486	14.0	260330	3.4035	0.4053
2.9284	15.0	278925	3.4107	0.4056
2.9143	16.0	297520	3.4057	0.4061
2.8931	17.0	316115	3.4160	0.4058
2.8785	18.0	334710	3.4139	0.4063
2.8611	19.0	353305	3.4191	0.4062
2.8443	20.0	371900	3.4227	0.4063

Framework versions

Transformers 4.38.0
Pytorch 2.3.1+cu121
Datasets 2.16.1
Tokenizers 0.15.2