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: 2.4596

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: 400

Training results

Training Loss	Epoch	Step	Validation Loss
1.7476	1.3158	25	1.4853
0.7367	2.6316	50	1.5640
0.3774	3.9474	75	1.7475
0.1429	5.2632	100	1.9993
0.086	6.5789	125	2.0531
0.0375	7.8947	150	2.1944
0.0224	9.2105	175	2.3234
0.0096	10.5263	200	2.1743
0.0053	11.8421	225	2.2676
0.0035	13.1579	250	2.4019
0.005	14.4737	275	2.4052
0.003	15.7895	300	2.4257
0.0025	17.1053	325	2.4432
0.0025	18.4211	350	2.4528
0.0022	19.7368	375	2.4576
0.0022	21.0526	400	2.4596

Framework versions

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