pyannote_fine_tuning

seona0826/pyannote_fine_tuning

pyannote_fine_tuning is a machine learning model from seona0826. 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 transformers.

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

Downloads · 30 days

7% of all-time downloads

All-time downloads

Public

Parameters

1.5M

29.5 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors5.9 MB · 100%

At a glance

Library: transformers
Model type: pyannet
Access: Public
Created: Nov 4, 2024
Updated: Nov 4, 2024
SHA: 2553b0d7

Model card

From the Hugging Face model README

pyannote_fine_tuning

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1283
Model Preparation Time: 0.0036
Der: 0.0490
False Alarm: 0.0309
Missed Detection: 0.0091
Confusion: 0.0090

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: 0.001
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Der	False Alarm	Missed Detection	Confusion
No log	1.0	21	0.1258	0.0036	0.0485	0.0287	0.0105	0.0093
0.228	2.0	42	0.1327	0.0036	0.0509	0.0300	0.0098	0.0112
0.1873	3.0	63	0.1280	0.0036	0.0496	0.0307	0.0092	0.0097
0.166	4.0	84	0.1280	0.0036	0.0487	0.0307	0.0091	0.0090
0.152	5.0	105	0.1283	0.0036	0.0490	0.0309	0.0091	0.0090

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1

Library: transformers
Type: pyannet
Created: Nov 4, 2024
Updated: Nov 4, 2024