output

This model is a fine-tuned version of meta-llama/Llama-2-70b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.3387

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.3
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
1.7334	0.29	1	1.5084
1.7705	0.57	2	1.4977
1.7433	0.86	3	1.4736
1.6862	1.14	4	1.4434
1.6562	1.43	5	1.4161
1.615	1.71	6	1.3948
1.6227	2.0	7	1.3813
1.5609	2.29	8	1.3706
1.619	2.57	9	1.3603
1.5298	2.86	10	1.3511
1.4428	3.14	11	1.3437
1.5641	3.43	12	1.3387

Framework versions

• PEFT 0.8.2
• Transformers 4.38.1
• Pytorch 2.2.1
• Datasets 2.17.1
• Tokenizers 0.15.2