Bhagya17
/

Zephyr_Summarization

Generated from Trainer

4-bit precision

Model card Files Files and versions Community

Edit model card

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Zephyr_Summarization

This model is a fine-tuned version of TheBloke/zephyr-7B-beta-GPTQ on the None dataset.

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 250
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.7.1
Transformers 4.37.1
Pytorch 2.1.2
Datasets 2.16.1
Tokenizers 0.15.1

Downloads last month: 0

Inference API

Unable to determine this model’s pipeline type. Check the docs .

Model tree for Bhagya17/Zephyr_Summarization

Base model

mistralai/Mistral-7B-v0.1

Finetuned

HuggingFaceH4/zephyr-7b-beta

Quantized

TheBloke/zephyr-7B-beta-GPTQ

Adapter

(39)

this model

Evaluation results

Metadata error: specify a dataset to view leaderboard