dhmeltzer/Llama-2-7b-hf-wiki30k_r_64_alpha_16

Llama-2-7b-hf-wiki_r_64_alpha_16

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.2487

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: 0.0002
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.3251	0.3	71	1.2680
1.19	0.61	142	1.2569
1.2281	0.91	213	1.2514
1.1363	1.21	284	1.2568
1.2296	1.51	355	1.2511
1.1319	1.82	426	1.2487
1.2245	2.12	497	1.2527
1.0558	2.42	568	1.2620
1.1141	2.73	639	1.2540

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.0
• Datasets 2.12.0
• Tokenizers 0.13.3