You can deploy this model and start earning money today!

pattonma/
llama381binstruct_summarize_short

Name: llama381binstruct_summarize_short
Availability: InStock

generated_from_trainer

generator

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

adapter

llama3.1

Views

No views yet

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

pattonma/llama381binstruct_summarize_short

llama381binstruct_summarize_short

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

pattonma/
llama381binstruct_summarize_short