Bracko
/

mistral-7B-v0.1-finetuned-ds2

Generated from Trainer

Model card Files Files and versions

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.

results

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7466

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 500
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.8246	1.0	1117	0.7507
0.6654	2.0	2234	0.7242
0.5764	3.0	3351	0.7297
0.4979	4.0	4468	0.7466

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Downloads last month: -

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for Bracko/mistral-7B-v0.1-finetuned-ds2

Base model

mistralai/Mistral-7B-v0.1

Adapter

(2461)

this model

Collection including Bracko/mistral-7B-v0.1-finetuned-ds2

Codingart-AI

14 items • Updated May 17, 2025