results

Cikola/results

results is a machine learning model from Cikola. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama2.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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.safetensors134 MB · 99%

At a glance

Library: peft
License: llama2
Access: Public
Created: Jul 19, 2024
Updated: Jul 20, 2024
SHA: b4b199d0

Base models

meta-llama/Llama-2-7b-hf

Model card

From the Hugging Face model README

results

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.1270

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: 0.0005
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	1	7.8752
No log	2.0	2	7.1592
No log	3.0	3	5.8948
No log	4.0	4	3.9066
No log	5.0	5	2.6638
No log	6.0	6	2.2232
No log	7.0	7	2.1572
No log	8.0	8	2.1381
No log	9.0	9	2.1296
No log	10.0	10	2.1270

Framework versions

PEFT 0.11.1
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
License: llama2
Created: Jul 19, 2024
Updated: Jul 20, 2024