Downloads · 30 days
6
15% of all-time downloads
DistilBERT_FINAL_ctxSentence_TRAIN_essays_TEST_NULL_second_train_set_null_False
ali2066/DistilBERT_FINAL_ctxSentence_TRAIN_essays_TEST_NULL_second_train_set_null_False
DistilBERT_FINAL_ctxSentence_TRAIN_essays_TEST_NULL_second_train_set_null_False is a text classification model from ali2066. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
40
Public
Repo size
536 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- May 2, 2022
- Updated
- May 2, 2022
- SHA
- 4cc122ab
Try a prompt
Model card
From the Hugging Face model README
<!-- 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_FINAL_ctxSentence_TRAIN_essays_TEST_NULL_second_train_set_null_False
This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7321
- Precision: 0.9795
- Recall: 0.7277
- F1: 0.835
- Accuracy: 0.7208
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 130 | 0.3755 | 0.8521 | 0.9910 | 0.9163 | 0.8529 |
| No log | 2.0 | 260 | 0.3352 | 0.8875 | 0.9638 | 0.9241 | 0.8713 |
| No log | 3.0 | 390 | 0.3370 | 0.8918 | 0.9321 | 0.9115 | 0.8529 |
| 0.4338 | 4.0 | 520 | 0.3415 | 0.8957 | 0.9321 | 0.9135 | 0.8566 |
| 0.4338 | 5.0 | 650 | 0.3416 | 0.8918 | 0.9321 | 0.9115 | 0.8529 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.18.0
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 2, 2022
- Updated
- May 2, 2022