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---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: N_bert_imdb_padding60model
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
config: plain_text
split: test
args: plain_text
metrics:
- name: Accuracy
type: accuracy
value: 0.9378
---
<!-- 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. -->
# N_bert_imdb_padding60model
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the imdb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7025
- Accuracy: 0.9378
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2209 | 1.0 | 1563 | 0.2386 | 0.92 |
| 0.1627 | 2.0 | 3126 | 0.2066 | 0.9349 |
| 0.0902 | 3.0 | 4689 | 0.3334 | 0.9260 |
| 0.0574 | 4.0 | 6252 | 0.3642 | 0.9349 |
| 0.0448 | 5.0 | 7815 | 0.3988 | 0.9351 |
| 0.0386 | 6.0 | 9378 | 0.4496 | 0.9329 |
| 0.014 | 7.0 | 10941 | 0.4423 | 0.9358 |
| 0.0191 | 8.0 | 12504 | 0.4193 | 0.9356 |
| 0.0183 | 9.0 | 14067 | 0.5018 | 0.9337 |
| 0.0111 | 10.0 | 15630 | 0.5163 | 0.9338 |
| 0.0125 | 11.0 | 17193 | 0.5138 | 0.9360 |
| 0.0067 | 12.0 | 18756 | 0.5259 | 0.9360 |
| 0.006 | 13.0 | 20319 | 0.6622 | 0.9314 |
| 0.0042 | 14.0 | 21882 | 0.6154 | 0.9348 |
| 0.004 | 15.0 | 23445 | 0.6094 | 0.9345 |
| 0.0031 | 16.0 | 25008 | 0.6450 | 0.9356 |
| 0.0013 | 17.0 | 26571 | 0.6317 | 0.9384 |
| 0.0014 | 18.0 | 28134 | 0.6713 | 0.9386 |
| 0.0 | 19.0 | 29697 | 0.6938 | 0.9383 |
| 0.0006 | 20.0 | 31260 | 0.7025 | 0.9378 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
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