File size: 1,953 Bytes
f66e9c3 |
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 |
---
language:
- en
license: apache-2.0
base_model: distilbert-base-cased
tags:
- pytorch
- movie-review-sentiment
- BertForSequenceClassification
- generated_from_trainer
metrics:
- accuracy
- matthews_correlation
model-index:
- name: distilbert-base-imdb
results: []
---
<!-- 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. -->
# distilbert-base-imdb
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the imdb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3490
- Accuracy: 0.9315
- Matthews Correlation: 0.8630
## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 320
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------------:|
| 0.2597 | 1.0 | 1250 | 0.1997 | 0.921 | 0.8426 |
| 0.165 | 2.0 | 2500 | 0.1839 | 0.9291 | 0.8582 |
| 0.0788 | 3.0 | 3750 | 0.2218 | 0.9308 | 0.8617 |
| 0.0235 | 4.0 | 5000 | 0.3490 | 0.9315 | 0.8630 |
| 0.0123 | 5.0 | 6250 | 0.3721 | 0.9314 | 0.8628 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
|