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: 1.8652

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
1.4098	2.5	25	1.0767
0.3872	5.0	50	1.2700
0.0902	7.5	75	1.6628
0.0294	10.0	100	1.5043
0.0147	12.5	125	1.6301
0.007	15.0	150	1.6782
0.005	17.5	175	1.7262
0.0026	20.0	200	1.7412
0.0013	22.5	225	1.7683
0.0009	25.0	250	1.8120
0.0008	27.5	275	1.8294
0.0008	30.0	300	1.8397
0.0007	32.5	325	1.8466
0.0007	35.0	350	1.8521
0.0006	37.5	375	1.8566
0.0006	40.0	400	1.8599
0.0006	42.5	425	1.8625
0.0006	45.0	450	1.8641
0.0006	47.5	475	1.8653
0.0005	50.0	500	1.8652

Framework versions

• PEFT 0.13.2
• Transformers 4.45.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.20.1