a9f95564-8108-4018-b0a8-c1519cc5a6bb

This model is a fine-tuned version of unsloth/tinyllama-chat on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1068

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: 0.000203
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• 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: constant
• lr_scheduler_warmup_steps: 50
• training_steps: 400

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0051	1	2.7134
0.2963	0.2528	50	0.1043
0.1056	0.5057	100	0.1043
0.105	0.7585	150	0.1033
0.1054	1.0126	200	0.1043
0.1045	1.2655	250	0.1060
0.1043	1.5183	300	0.1068

Framework versions

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