Cold-Rec-LLama-2-7B

This model is a fine-tuned version of ahxt/llama1_s_1.8B_experimental on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0777

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: 0.001
• train_batch_size: 16
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.2217	1.992	249	0.2119
0.1599	3.984	498	0.1558
0.1177	5.976	747	0.1157
0.0842	7.968	996	0.0875
0.075	9.96	1245	0.0776

Framework versions

• PEFT 0.12.0
• Transformers 4.43.3
• Pytorch 2.3.1+cu121
• Datasets 2.17.0
• Tokenizers 0.19.1