tinylm33M-stella-1sent_7clust-2025-04-05-00-10

This model is a fine-tuned version of roneneldan/TinyStories-1M on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.1625

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: 5e-06
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
2.7415	0.8418	500	2.7126
2.6712	1.6835	1000	2.6372
2.6827	2.5253	1500	2.5755
2.5592	3.3670	2000	2.5308
2.4406	4.2088	2500	2.4883
2.396	5.0505	3000	2.4525
2.3677	5.8923	3500	2.4142
2.3502	6.7340	4000	2.3827
2.3024	7.5758	4500	2.3539
2.3141	8.4175	5000	2.3247
2.2252	9.2593	5500	2.2995
2.2487	10.1010	6000	2.2759
2.2602	10.9428	6500	2.2560
2.2405	11.7845	7000	2.2364
2.247	12.6263	7500	2.2213
2.1074	13.4680	8000	2.2083
2.1913	14.3098	8500	2.1956
2.2864	15.1515	9000	2.1865
2.1243	15.9933	9500	2.1774
2.2445	16.8350	10000	2.1727
2.1112	17.6768	10500	2.1675
2.1382	18.5185	11000	2.1647
2.0468	19.3603	11500	2.1625

Framework versions

• Transformers 4.50.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1