d45959ee-4344-4491-ba1f-1b3c94dcf0e6

This model is a fine-tuned version of TinyLlama/TinyLlama_v1.1 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6759

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: 0.000218
• 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	0.0003	1	2.7887
1.0635	0.0158	50	1.2695
0.9356	0.0316	100	1.0626
0.8423	0.0474	150	0.9970
0.8257	0.0631	200	0.8699
0.804	0.0789	250	0.8138
0.7872	0.0947	300	0.7520
0.7109	0.1105	350	0.7242
0.7147	0.1263	400	0.6935
0.6839	0.1421	450	0.6782
0.663	0.1579	500	0.6759

Framework versions

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