fununun

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6908
• Rewards/chosen: 0.0015
• Rewards/rejected: -0.0032
• Rewards/accuracies: 0.7176
• Rewards/margins: 0.0047
• Logps/rejected: -197.2385
• Logps/chosen: -235.0630
• Logits/rejected: -3.0691
• Logits/chosen: -3.1037

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: 5e-07
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 20
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.693	0.04	20	0.6927	0.0001	-0.0007	0.5614	0.0009	-197.2139	-235.0765	-3.0688	-3.1035
0.6922	0.07	40	0.6919	0.0007	-0.0017	0.6440	0.0024	-197.2236	-235.0704	-3.0690	-3.1036
0.6913	0.11	60	0.6913	0.0011	-0.0025	0.6886	0.0037	-197.2319	-235.0664	-3.0691	-3.1037
0.6909	0.15	80	0.6909	0.0014	-0.0030	0.7098	0.0044	-197.2367	-235.0639	-3.0691	-3.1037
0.6906	0.19	100	0.6908	0.0015	-0.0032	0.7176	0.0047	-197.2385	-235.0630	-3.0691	-3.1037

Framework versions

• PEFT 0.7.1
• Transformers 4.36.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0