V0413MP32

Litzy619/V0413MP32

V0413MP32 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 13, 2024

Parameters

2.8B

5.8 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors5.7 GB · 98%

Parameter types

How the weights are stored.

F162.8B · 99%

Base models

microsoft/phi-2

Model card

From the Hugging Face model README

V0413MP32

This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0703

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: 0.003
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
0.1361	0.18	20	0.1141
0.1496	0.36	40	0.0997
0.097	0.54	60	0.0812
0.0778	0.73	80	0.0788
0.0787	0.91	100	0.0725
0.0767	1.09	120	0.0729
0.073	1.27	140	0.0741
0.075	1.45	160	0.0705
0.0668	1.63	180	0.0718
0.0705	1.81	200	0.0703
0.0678	1.99	220	0.0703

Framework versions

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

License: mit
Created: Apr 13, 2024
Updated: Apr 13, 2024