bda794e5-89a6-4eaa-862e-e688558b05e4

This model is a fine-tuned version of fxmarty/really-tiny-falcon-testing on the None dataset. It achieves the following results on the evaluation set:

• Loss: 10.9657

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: 0.000211
• 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: 452

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0022	1	11.0913
22.0436	0.1107	50	11.0186
21.9701	0.2215	100	10.9933
21.9368	0.3322	150	10.9824
21.971	0.4430	200	10.9762
21.9452	0.5537	250	10.9720
21.9155	0.6645	300	10.9685
21.931	0.7752	350	10.9672
21.9188	0.8859	400	10.9662
21.9059	0.9967	450	10.9657

Framework versions

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