muhtasham/bert-small-finetuned-eurlex

bert_uncased_L-4_H-512_A-8-finetuned-eurlex

This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.9798
• eval_runtime: 51.2571
• eval_samples_per_second: 638.916
• eval_steps_per_second: 79.872
• epoch: 2.0
• step: 62604

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: 3.0

Framework versions

• Transformers 4.21.1
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1