7a2f3e99-baf9-4b5f-a182-76bc9c863d59

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: 10.7143

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: 0.000201
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• 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	0.0002	1	11.1202
21.7433	0.0102	50	10.8623
21.628	0.0203	100	10.8000
21.5987	0.0305	150	10.7729
21.5289	0.0407	200	10.7530
21.5209	0.0509	250	10.7365
21.4654	0.0610	300	10.7261
21.4938	0.0712	350	10.7193
21.4656	0.0814	400	10.7155
21.4737	0.0916	450	10.7143
21.4702	0.1017	500	10.7143

Framework versions

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