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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_interview_new
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_interview_new
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: 2.6712
- Accuracy: 0.3534
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 463 | 2.2196 | 0.3319 |
| 2.1608 | 2.0 | 926 | 2.1235 | 0.3534 |
| 1.816 | 3.0 | 1389 | 2.1393 | 0.3879 |
| 1.533 | 4.0 | 1852 | 2.1836 | 0.3578 |
| 1.2761 | 5.0 | 2315 | 2.2730 | 0.3664 |
| 1.122 | 6.0 | 2778 | 2.3939 | 0.3578 |
| 0.9403 | 7.0 | 3241 | 2.4908 | 0.3578 |
| 0.8317 | 8.0 | 3704 | 2.5671 | 0.3448 |
| 0.7571 | 9.0 | 4167 | 2.6484 | 0.3491 |
| 0.693 | 10.0 | 4630 | 2.6712 | 0.3534 |
### Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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