V0410MP3_neo

Litzy619/V0410MP3_neo

V0410MP3_neo is a machine learning model from Litzy619. 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 mit.

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

Downloads · 30 days

Access

Public

Updated Apr 11, 2024

Parameters

2.7B

10.8 GB on disk

Likes

Public

Hugging Face

Repo makeup

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.safetensors10.7 GB · 99%

At a glance

License: mit
Access: Public
Created: Apr 11, 2024
Updated: Apr 11, 2024
SHA: f57d5f65

Base models

EleutherAI/gpt-neo-2.7B

Model card

From the Hugging Face model README

V0410MP3_neo

This model is a fine-tuned version of EleutherAI/gpt-neo-2.7B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 11.4224

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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_steps: 20
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
12.6501	0.18	20	12.6430
12.5965	0.36	40	12.6773
12.883	0.54	60	12.8912
12.443	0.73	80	13.2937
11.8789	0.91	100	11.5682
11.8368	1.09	120	12.7259
11.6823	1.27	140	11.6140
11.3923	1.45	160	11.4045
11.4354	1.63	180	11.5279
11.4733	1.81	200	11.4428
11.3741	1.99	220	11.4224

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.14.1

License: mit
Created: Apr 11, 2024
Updated: Apr 11, 2024