---
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
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# 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