File size: 2,035 Bytes
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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: Learning_file
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. -->
# Learning_file
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: 0.3765
- Accuracy: 0.895
## 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: Use OptimizerNames.ADAMW_TORCH_FUSED 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2846 | 1.0 | 32 | 1.1305 | 0.745 |
| 0.9125 | 2.0 | 64 | 0.7700 | 0.845 |
| 0.5789 | 3.0 | 96 | 0.5487 | 0.86 |
| 0.4028 | 4.0 | 128 | 0.4588 | 0.87 |
| 0.3067 | 5.0 | 160 | 0.4303 | 0.87 |
| 0.2694 | 6.0 | 192 | 0.4051 | 0.87 |
| 0.2243 | 7.0 | 224 | 0.3891 | 0.89 |
| 0.2052 | 8.0 | 256 | 0.3834 | 0.89 |
| 0.1907 | 9.0 | 288 | 0.3778 | 0.89 |
| 0.1891 | 10.0 | 320 | 0.3765 | 0.895 |
### Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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