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---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: left_padding50model
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: 0.93304
---
<!-- 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. -->
# left_padding50model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
It achieves the following results on the evaluation set:
- Accuracy: 0.9330
- Loss: 0.6731
## 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: 10
### Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:-----:|:--------:|:---------------:|
| 0.0717 | 1.0 | 1563 | 0.9253 | 0.4438 |
| 0.0129 | 2.0 | 3126 | 0.9311 | 0.4835 |
| 0.04 | 3.0 | 4689 | 0.9292 | 0.4372 |
| 0.022 | 4.0 | 6252 | 0.9285 | 0.5136 |
| 0.0146 | 5.0 | 7815 | 0.9232 | 0.6244 |
| 0.03 | 6.0 | 9378 | 0.9278 | 0.5806 |
| 0.0031 | 7.0 | 10941 | 0.9293 | 0.6286 |
| 0.0082 | 8.0 | 12504 | 0.9286 | 0.6613 |
| 0.0 | 9.0 | 14067 | 0.9309 | 0.6665 |
| 0.0 | 10.0 | 15630 | 0.9330 | 0.6731 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1
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