shawgpt-ft

shawhin/shawgpt-ft

shawgpt-ft is a machine learning model from shawhin. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

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

Downloads · 30 days

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Public

Updated Feb 20, 2024

Repo size

1.1 GB

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Public

Hugging Face

Repo makeup

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.safetensors8.4 MB · 99%

At a glance

License: apache-2.0
Access: Public
Created: Feb 16, 2024
Updated: Feb 20, 2024
SHA: af789073

Base models

TheBloke/Mistral-7B-Instruct-v0.2-GPTQ

Model card

From the Hugging Face model README

shawgpt-ft

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.7578

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.5944	0.92	3	3.9680
4.0632	1.85	6	3.4430
3.4599	2.77	9	2.9820
2.2563	4.0	13	2.5456
2.6364	4.92	16	2.2781
2.2961	5.85	19	2.0657
2.0692	6.77	22	1.9161
1.4295	8.0	26	1.8044
1.8307	8.92	29	1.7627
1.2551	9.23	30	1.7578

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2

License: apache-2.0
Created: Feb 16, 2024
Updated: Feb 20, 2024