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license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: model
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. -->
# model
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: 3.2354
- Accuracy: 0.5933
- Macro F1: 0.5949
## 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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.8639 | 1.0 | 748 | 0.8235 | 0.6094 | 0.6099 |
| 0.6838 | 2.0 | 1496 | 0.8541 | 0.6348 | 0.6278 |
| 0.4318 | 3.0 | 2244 | 1.0577 | 0.6147 | 0.6125 |
| 0.3233 | 4.0 | 2992 | 1.6734 | 0.6020 | 0.6031 |
| 0.2183 | 5.0 | 3740 | 2.0912 | 0.6074 | 0.6087 |
| 0.161 | 6.0 | 4488 | 2.5560 | 0.5926 | 0.5946 |
| 0.08 | 7.0 | 5236 | 2.8546 | 0.5846 | 0.5880 |
| 0.1 | 8.0 | 5984 | 3.1178 | 0.5826 | 0.5864 |
| 0.0343 | 9.0 | 6732 | 3.1232 | 0.5987 | 0.5969 |
| 0.0712 | 10.0 | 7480 | 3.2354 | 0.5933 | 0.5949 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.11.0+cu130
- Datasets 2.21.0
- Tokenizers 0.19.1
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