SmolLM2-NewArgs – AI Model by Huyle2501 | AlphaNeural AI

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Huyle2501/
SmolLM2-NewArgs

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text-generation

generated_from_trainer

HuggingFaceTB/SmolLM2-135M

text-generation-inference

endpoints_compatible

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SmolLM2-NewArgs

This model is a fine-tuned version of HuggingFaceTB/SmolLM2-135M on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.1243

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
2.1837	0.16	200	3.2231
2.212	0.32	400	3.1906
2.1925	0.48	600	3.1144
2.157	0.64	800	3.0551
2.0288	0.8	1000	3.0355
1.9743	0.96	1200	2.9745
1.348	1.12	1400	3.1598
1.1199	1.28	1600	3.1587
1.0924	1.44	1800	3.1218
1.065	1.6	2000	3.1331
1.053	1.76	2200	3.1213
1.0264	1.92	2400	3.1243

Framework versions

Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0