rahulgaikwad007/Finetuned-model-imsoumyaneel-25k-Epoch-10

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

Finetuned-model-imsoumyaneel-25k-Epoch-10

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

• —eval_loss: 0.1444
• —eval_accuracy: 0.9415
• —eval_f1: 0.9420
• —eval_precision: 0.9436
• —eval_recall: 0.9415
• —evalvalidationaccuracy: 0.9415
• —eval_runtime: 995.7317
• —evalsamplesper_second: 120.173
• —evalstepsper_second: 3.756
• —epoch: 1.0
• —step: 14958

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: 5e-06
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 10

Framework versions

• —Transformers 4.42.3
• —Pytorch 2.3.0+cu121
• —Datasets 2.20.0
• —Tokenizers 0.19.1