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dgutierrez/
llama381binstruct_summarize_short

Name: llama381binstruct_summarize_short
Availability: InStock

generated_from_trainer

generator

NousResearch/Meta-Llama-3.1-8B-Instruct

adapter

llama3.1

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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: 2.6704

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
1.7321	1.25	25	1.6900
0.8071	2.5	50	1.8501
0.3599	3.75	75	1.8955
0.1408	5.0	100	2.0946
0.1067	6.25	125	2.1324
0.0366	7.5	150	2.4187
0.025	8.75	175	2.3309
0.0215	10.0	200	2.3936
0.0094	11.25	225	2.5407
0.0063	12.5	250	2.4951
0.0035	13.75	275	2.5288
0.0051	15.0	300	2.5601
0.0042	16.25	325	2.5644
0.002	17.5	350	2.6005
0.002	18.75	375	2.6281
0.002	20.0	400	2.6451
0.0019	21.25	425	2.6574
0.0018	22.5	450	2.6649
0.0017	23.75	475	2.6694
0.0018	25.0	500	2.6704

Framework versions

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

dgutierrez/llama381binstruct_summarize_short

llama381binstruct_summarize_short

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dgutierrez/
llama381binstruct_summarize_short