tb_single_layer_3

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tb_single_layer_3

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3762

accuracy

: 0.8477

f1

: 0.8459

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: 1e-05
• 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 | 414 | 0.3792 | 0.8465 | 0.8414 | | 0.4653 | 2.0 | 828 | 0.3774 | 0.8395 | 0.8407 | | 0.3731 | 3.0 | 1242 | 0.3762 | 0.8477 | 0.8459 | | 0.3116 | 4.0 | 1656 | 0.4190 | 0.8302 | 0.8307 | | 0.2436 | 5.0 | 2070 | 0.4870 | 0.8163 | 0.8158 |

Framework versions

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