level_c_huge_sentiment_vader_0

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: 1.3820

accuracy

: 0.6667

f1

: 0.6451

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 | 2.7970 | 0.4648 | 0.4289 | | No log | 2.0 | 244 | 2.4323 | 0.5587 | 0.5122 | | No log | 3.0 | 366 | 2.1969 | 0.5869 | 0.5677 | | No log | 4.0 | 488 | 2.0238 | 0.5915 | 0.5413 | | 2.3454 | 5.0 | 610 | 1.9020 | 0.5962 | 0.5778 | | 2.3454 | 6.0 | 732 | 1.7289 | 0.6056 | 0.5719 | | 2.3454 | 7.0 | 854 | 1.7025 | 0.6009 | 0.5645 | | 2.3454 | 8.0 | 976 | 1.7965 | 0.6103 | 0.5780 | | 1.346 | 9.0 | 1098 | 1.5754 | 0.6244 | 0.5877 | | 1.346 | 10.0 | 1220 | 1.4479 | 0.6432 | 0.6118 | | 1.346 | 11.0 | 1342 | 1.4275 | 0.6244 | 0.6085 | | 1.346 | 12.0 | 1464 | 1.3895 | 0.6432 | 0.6118 | | 0.7523 | 13.0 | 1586 | 1.3820 | 0.6667 | 0.6451 | | 0.7523 | 14.0 | 1708 | 1.4082 | 0.6667 | 0.6467 | | 0.7523 | 15.0 | 1830 | 1.4800 | 0.6479 | 0.6140 |

Framework versions

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