llama381binstruct_summarize_short

This model is a fine-tuned version of NousResearch/Meta-Llama-3.1-8B-Instruct on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 2.0084

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: 1
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 30
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
1.7525	1.25	25	1.5271
0.7826	2.5	50	1.4348
0.395	3.75	75	1.3611
0.2184	5.0	100	1.4174
0.103	6.25	125	1.5257
0.0332	7.5	150	1.7178
0.0237	8.75	175	1.7389
0.026	10.0	200	1.6446
0.0165	11.25	225	1.8576
0.007	12.5	250	1.7998
0.0048	13.75	275	1.8755
0.0061	15.0	300	1.8949
0.003	16.25	325	1.9242
0.002	17.5	350	1.9594
0.0025	18.75	375	1.9789
0.0022	20.0	400	1.9908
0.002	21.25	425	1.9993
0.0017	22.5	450	2.0042
0.0021	23.75	475	2.0071
0.0024	25.0	500	2.0084

Framework versions

• PEFT 0.12.0
• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1