CoolFace
Modelpublic

RichardErkhov/tsavage68_-_IE_M2_200steps_1e7rate_SFT-gguf

sourceHugging Faceupdated 1y agoView on Hugging Face
0likes236downloads
Model Card

Quantization made by Richard Erkhov.

Github

Discord

Request more models

IEM2200steps1e7rateSFT - GGUF

  • —Model creator: https://huggingface.co/tsavage68/
  • —Original model: https://huggingface.co/tsavage68/IEM2200steps1e7rateSFT/

Original model description: --- libraryname: transformers license: apache-2.0 basemodel: mistralai/Mistral-7B-Instruct-v0.2 tags:

  • —trl
  • —sft
  • —generatedfromtrainer model-index:
  • —name: IEM2200steps1e7rateSFT results: [] ---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

IEM2200steps1e7rateSFT

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

  • —Loss: 1.3388

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: 1e-07
  • —trainbatchsize: 2
  • —evalbatchsize: 1
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 4
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 100
  • —training_steps: 200

Training results

Training LossEpochStepValidation Loss
1.84040.4501.8454
1.62610.81001.5552
1.45021.21501.3437
1.37691.62001.3388

Framework versions

  • —Transformers 4.44.2
  • —Pytorch 2.0.0+cu117
  • —Datasets 3.0.0
  • —Tokenizers 0.19.1