smolm-autoreg-bpe-seed_111 – AI Model by kanishka | AlphaNeural AI

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kanishka/
smolm-autoreg-bpe-seed_111

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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smolm-autoreg-bpe-seed_111

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.4759
Accuracy: 0.5000

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: 0.003
train_batch_size: 16
eval_batch_size: 128
seed: 111
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 24000
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.0508	1.0	2928	3.0180	0.4367
2.7062	2.0	5856	2.7857	0.4600
2.5923	3.0	8784	2.6900	0.4700
2.5183	4.0	11712	2.6405	0.4760
2.4632	5.0	14640	2.6110	0.4799
2.4241	6.0	17568	2.5840	0.4835
2.3815	7.0	20496	2.5728	0.4851
2.3595	8.0	23424	2.5581	0.4867
2.2838	9.0	26352	2.5014	0.4949
2.1364	10.0	29280	2.4759	0.5000

Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1