25S2_awesome_eli5_mlm_model

This model is a fine-tuned version of distilbert/distilroberta-base on the eli5_category dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.0412
• eval_runtime: 19.294
• eval_samples_per_second: 140.51
• eval_steps_per_second: 17.57
• epoch: 1.7159
• step: 2241

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Framework versions

• Transformers 4.56.0
• Pytorch 2.8.0+cu126
• Datasets 3.6.0
• Tokenizers 0.22.1