tinylm33M-stella-1sent_15clust-2025-04-04-01-12

This model is a fine-tuned version of roneneldan/TinyStories-33M on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.2632

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
1.7395	0.8418	500	1.6702
1.2802	1.6835	1000	1.3050
1.2237	2.5253	1500	1.2588
1.0988	3.3670	2000	1.2520
0.9835	4.2088	2500	1.2581
0.958	5.0505	3000	1.2632

Framework versions

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