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finetuning-l3-bert-latest

This model is a fine-tuned version of l3cube-pune/telugu-bert on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.6283
• eval_accuracy: 0.7558
• eval_f1: 0.7529
• eval_runtime: 79.9067
• eval_samples_per_second: 51.61
• eval_steps_per_second: 6.458
• step: 0

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Framework versions

• Transformers 4.29.0
• Pytorch 1.13.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3