LalasaMynalli
/

LalasaMynalli_First_LLM

Text Classification

Generated from Trainer

sentiment analysis

cyberbullying detection

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

Edit model card

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.

Training_Checkpoint

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0006
eval_accuracy: 1.0
eval_f1: 1.0
eval_runtime: 1.7344
eval_samples_per_second: 576.552
eval_steps_per_second: 36.323
epoch: 10.0
step: 630

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Downloads last month: 0

Safetensors

Model size

67M params

Tensor type

F32

·

Inference Examples

Text Classification

This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for LalasaMynalli/LalasaMynalli_First_LLM

Base model

distilbert/distilbert-base-uncased

Finetuned

(6690)

this model

Evaluation results

Metadata error: specify a dataset to view leaderboard