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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_padding0model
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: 0.92484
---
<!-- 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_padding0model
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: 0.9248
- Loss: 0.6918
## 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 |
|:-------------:|:-----:|:-----:|:--------:|:---------------:|
| 0.2227 | 1.0 | 1563 | 0.9217 | 0.2214 |
| 0.1325 | 2.0 | 3126 | 0.9312 | 0.2340 |
| 0.1433 | 3.0 | 4689 | 0.9273 | 0.2143 |
| 0.1093 | 4.0 | 6252 | 0.9267 | 0.3209 |
| 0.0601 | 5.0 | 7815 | 0.9276 | 0.3734 |
| 0.0497 | 6.0 | 9378 | 0.9174 | 0.4883 |
| 0.0632 | 7.0 | 10941 | 0.9169 | 0.4722 |
| 0.0301 | 8.0 | 12504 | 0.9048 | 0.5964 |
| 0.0292 | 9.0 | 14067 | 0.9261 | 0.4406 |
| 0.0119 | 10.0 | 15630 | 0.9264 | 0.5227 |
| 0.0218 | 11.0 | 17193 | 0.9294 | 0.5665 |
| 0.0161 | 12.0 | 18756 | 0.9276 | 0.5829 |
| 0.0068 | 13.0 | 20319 | 0.928 | 0.5820 |
| 0.0265 | 14.0 | 21882 | 0.9229 | 0.5842 |
| 0.0098 | 15.0 | 23445 | 0.9283 | 0.6034 |
| 0.0081 | 16.0 | 25008 | 0.9251 | 0.6624 |
| 0.0062 | 17.0 | 26571 | 0.9138 | 0.5561 |
| 0.0153 | 18.0 | 28134 | 0.9223 | 0.6722 |
| 0.0213 | 19.0 | 29697 | 0.9233 | 0.6735 |
| 0.0148 | 20.0 | 31260 | 0.9283 | 0.5918 |
| 0.0076 | 21.0 | 32823 | 0.9248 | 0.7200 |
| 0.0088 | 22.0 | 34386 | 0.9221 | 0.6554 |
| 0.0072 | 23.0 | 35949 | 0.9248 | 0.6918 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1
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