6474e220-11e7-4ab5-9116-9f872c91d06b

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: 0.000204
• 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
21.7374	0.0102	50	10.8622
21.6329	0.0203	100	10.8032
21.6024	0.0305	150	10.7759
21.5335	0.0407	200	10.7551
21.526	0.0509	250	10.7386
21.466	0.0610	300	10.7272
21.4978	0.0712	350	10.7200
21.4682	0.0814	400	10.7159
21.4738	0.0916	450	10.7143
21.4712	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