f9654299-2910-4317-8a79-a3a3b4104211

This model is a fine-tuned version of katuni4ka/tiny-random-falcon-40b on the None dataset. It achieves the following results on the evaluation set:

• Loss: 9.9715

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: 0.00021
• train_batch_size: 4
• eval_batch_size: 4
• seed: 100
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0008	1	11.0545
20.6914	0.0390	50	10.3889
19.7568	0.0781	100	10.1540
19.6019	0.1171	150	10.0781
19.5667	0.1562	200	10.0360
19.3438	0.1952	250	10.0107
19.4514	0.2343	300	9.9902
19.3682	0.2733	350	9.9803
19.5269	0.3124	400	9.9749
19.3169	0.3514	450	9.9752
19.3261	0.3905	500	9.9715

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1