metadata

license: apache-2.0
base_model: distilbert-base-uncased
tags:
  - generated_from_trainer
model-index:
  - name: Finetuned-model-imsoumyaneel-25k-Epoch-10
    results: []

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
eval_validation_accuracy: 0.9415
eval_runtime: 995.7317
eval_samples_per_second: 120.173
eval_steps_per_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
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10

Framework versions

Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1