flippa-exp26-v3-7b

This model is a fine-tuned version of yam-peleg/Experiment26-7B on the cognitivecomputations/dolphin flan1malpaca and dolphincoder dataset. It achieves the following results on the evaluation set:

• Loss: 1.2118

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: 2e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.4828	1.0	500	1.3111
1.1442	2.0	1000	1.2297
1.1031	3.0	1500	1.2118

Framework versions

• PEFT 0.9.0
• Transformers 4.38.1
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2