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---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_combined_top_2
results: []
---
<!-- 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. -->
# bert_combined_top_2
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0250
- Accuracy: 0.9936
## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0262 | 1.0 | 780 | 0.7390 | 0.6955 |
| 0.7462 | 2.0 | 1560 | 0.5070 | 0.8462 |
| 0.535 | 3.0 | 2340 | 0.2484 | 0.9295 |
| 0.3449 | 4.0 | 3120 | 0.1408 | 0.9583 |
| 0.1813 | 5.0 | 3900 | 0.1008 | 0.9840 |
| 0.1172 | 6.0 | 4680 | 0.0945 | 0.9776 |
| 0.1154 | 7.0 | 5460 | 0.0420 | 0.9872 |
| 0.0504 | 8.0 | 6240 | 0.0291 | 0.9936 |
| 0.0505 | 9.0 | 7020 | 0.0072 | 0.9968 |
| 0.0298 | 10.0 | 7800 | 0.0250 | 0.9936 |
### Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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