You can deploy this model and start earning money today!

pepoo20/
Orca_End

Views

No views yet

Orca_End

This model is a fine-tuned version of /home/ray/default/save/SFT_merge on the WordProblems_SFT_LLama_End dataset. It achieves the following results on the evaluation set:

Loss: 0.1417

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: 5e-05
train_batch_size: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.2267	0.2341	500	0.2229
0.177	0.4682	1000	0.1735
0.1592	0.7022	1500	0.1591
0.1572	0.9363	2000	0.1515
0.142	1.1704	2500	0.1472
0.1376	1.4045	3000	0.1441
0.1569	1.6386	3500	0.1425
0.1413	1.8727	4000	0.1417

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.3.0+cu121
Datasets 2.17.1
Tokenizers 0.19.1

pepoo20/Orca_End

Orca_End

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

pepoo20/
Orca_End