sentiment-analysis

srinivasan-sridhar28/sentiment-analysis

sentiment-analysis is a machine learning model from srinivasan-sridhar28. 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 peft. The card lists the license as apache-2.0.

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

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At a glance

Library: peft
License: apache-2.0
Model type: distilbert
Access: Public
Created: Jun 30, 2024
Updated: Jul 4, 2024
SHA: 9a773622

Base models

distilbert/distilbert-base-uncased

Model card

From the Hugging Face model README

sentiment-analysis

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

Loss: 1.0940
Accuracy: 0.586

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.4	50	1.5942	0.401
No log	0.8	100	1.5160	0.4765
No log	1.2	150	1.3189	0.535
No log	1.6	200	1.2154	0.551
No log	2.0	250	1.1434	0.562
No log	2.4	300	1.1106	0.575
No log	2.8	350	1.0940	0.586

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: peft
Type: distilbert
License: apache-2.0
Created: Jun 30, 2024
Updated: Jul 4, 2024