CloudflareTunedModel

This model is a fine-tuned version of stabilityai/stablelm-zephyr-3b on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.4473

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 10
• total_train_batch_size: 40
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.56	1	2.9512
No log	1.67	3	2.9727
No log	2.78	5	3.2578
No log	3.89	7	2.9238
No log	5.0	9	3.3867
0.916	5.56	10	3.3066
0.916	6.67	12	3.2090
0.916	7.78	14	3.4980
0.916	8.89	16	3.5098
0.916	10.0	18	3.4434
0.916	10.56	19	3.4375
0.1354	11.67	21	3.4238
0.1354	12.78	23	3.4336
0.1354	13.89	25	3.4473
0.1354	15.0	27	3.4492
0.1354	15.56	28	3.4492
0.0754	16.67	30	3.4473

Framework versions

• PEFT 0.9.0
• Transformers 4.38.2
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2