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