File size: 2,882 Bytes
05236ac |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 |
---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: N_distilbert_imdb_padding40model
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: 0.93052
---
<!-- 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_distilbert_imdb_padding40model
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:
- Loss: 0.7640
- Accuracy: 0.9305
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2367 | 1.0 | 1563 | 0.3081 | 0.8873 |
| 0.18 | 2.0 | 3126 | 0.2079 | 0.9299 |
| 0.1146 | 3.0 | 4689 | 0.3326 | 0.9227 |
| 0.0688 | 4.0 | 6252 | 0.3477 | 0.9238 |
| 0.0389 | 5.0 | 7815 | 0.4432 | 0.9256 |
| 0.0338 | 6.0 | 9378 | 0.4389 | 0.9252 |
| 0.0269 | 7.0 | 10941 | 0.4876 | 0.9254 |
| 0.0146 | 8.0 | 12504 | 0.5673 | 0.9272 |
| 0.0178 | 9.0 | 14067 | 0.5712 | 0.9249 |
| 0.0108 | 10.0 | 15630 | 0.5723 | 0.9303 |
| 0.0137 | 11.0 | 17193 | 0.5582 | 0.9289 |
| 0.0104 | 12.0 | 18756 | 0.6285 | 0.9303 |
| 0.0071 | 13.0 | 20319 | 0.6775 | 0.9296 |
| 0.0057 | 14.0 | 21882 | 0.7206 | 0.9262 |
| 0.0067 | 15.0 | 23445 | 0.7085 | 0.929 |
| 0.0055 | 16.0 | 25008 | 0.7183 | 0.9296 |
| 0.0027 | 17.0 | 26571 | 0.7296 | 0.9299 |
| 0.0005 | 18.0 | 28134 | 0.7465 | 0.9313 |
| 0.0004 | 19.0 | 29697 | 0.7610 | 0.9309 |
| 0.0 | 20.0 | 31260 | 0.7640 | 0.9305 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
|