kevin1010607/llama2-7b-mod-sft-full-3

llama2-7b-mod-sft-full-2

This model is a fine-tuned version of kevin1010607/llama2-7b-mod on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 1.1683

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: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• total_eval_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.1993	0.9997	2536	1.1683

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.0a0+ebedce2
• Datasets 2.20.0
• Tokenizers 0.19.1