File size: 1,786 Bytes
6d3c044 0aa2b19 6d3c044 0aa2b19 6d3c044 0aa2b19 6d3c044 0aa2b19 6d3c044 0aa2b19 6d3c044 b3d8341 6d3c044 0aa2b19 6d3c044 0aa2b19 6d3c044 0aa2b19 |
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 |
---
datasets:
- seamew/ChnSentiCorp
metrics:
- accuracy
- precision
- f1
- recall
model-index:
- name: gpt2-imdb-sentiment-classifier
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
metrics:
- name: Accuracy
type: accuracy
value: 0.9394
language:
- zh
pipeline_tag: text-classification
---
<!-- 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. -->
# gpt2-imdb-sentiment-classifier
This model is a fine-tuned version of [hfl/rbt6](https://huggingface.co/hfl/rbt6) on the ChnSentiCorp dataset.
It achieves the following results on the evaluation set:
- Loss: 0.294600
- Accuracy: 0.933884
## Intended uses & limitations
This is comparable to [distilbert-imdb](https://huggingface.co/lvwerra/distilbert-imdb) and trained with exactly the same [script](https://huggingface.co/lvwerra/distilbert-imdb/blob/main/distilbert-imdb-training.ipynb)
It achieves slightly lower loss (0.1703 vs 0.1903) and slightly higher accuracy (0.9394 vs 0.928)
## 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: 4
- eval_batch_size: 4
- weight_decay=1e-2
- num_train_epochs=3
### Training results
Epoch Training Loss Validation Loss Accuracy F1 Precision Recall
1 0.359700 0.306089 0.924242 0.926230 0.918699 0.933884
2 0.200600 0.295512 0.942761 0.943615 0.946755 0.940496
3 0.105600 0.294600 0.941919 0.942452 0.951178 0.933884
### Framework versions
- Pytorch 2.0.0
- Python 3.9.12 |