c8de0d5a-f970-48c7-bb28-6f6062c82bac

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5401

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: 0.000202
• 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	0.0000	1	1.5088
1.0704	0.0013	50	0.6957
0.7864	0.0026	100	0.6065
0.8185	0.0039	150	0.5981
0.9762	0.0051	200	0.5913
0.6995	0.0064	250	0.5778
0.6384	0.0077	300	0.5679
0.6096	0.0090	350	0.5562
0.6467	0.0103	400	0.5453
0.724	0.0116	450	0.5407
0.6565	0.0128	500	0.5401

Framework versions

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