levela_huge_no_2

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>

levela_huge_no_2

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8190

accuracy

: 0.6620

f1

: 0.6114

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
• num_epochs: 50

Training results

| Training Loss | Epoch | Step | Validation Loss |

accuracy

|

f1

| |:-------------:|:-----:|:----:|:---------------:|:------------:|:------:| | No log | 1.0 | 122 | 0.9864 | 0.5493 | 0.4968 | | No log | 2.0 | 244 | 0.8840 | 0.5915 | 0.5348 | | No log | 3.0 | 366 | 0.8374 | 0.6432 | 0.5844 | | No log | 4.0 | 488 | 0.8469 | 0.6432 | 0.5831 | | 0.7831 | 5.0 | 610 | 0.8344 | 0.6714 | 0.6161 | | 0.7831 | 6.0 | 732 | 0.8190 | 0.6620 | 0.6114 | | 0.7831 | 7.0 | 854 | 0.8294 | 0.6808 | 0.6433 | | 0.7831 | 8.0 | 976 | 0.8389 | 0.6667 | 0.6295 |

Framework versions

• Transformers 4.45.2
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1