Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use manjinder/sentiment_test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manjinder/sentiment_test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="manjinder/sentiment_test2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("manjinder/sentiment_test2") model = AutoModelForSequenceClassification.from_pretrained("manjinder/sentiment_test2") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -19,17 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 19 |
|
| 20 |
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
|
| 21 |
It achieves the following results on the evaluation set:
|
| 22 |
-
|
| 23 |
-
- Y True: [0 0 0 0 0 0 2 0 0 0 0 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0
|
| 24 |
-
0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 1 2 2 1 1 2 2 2 0 2 2 1 1 2 2 2 1 0 2 2 2
|
| 25 |
-
2 2 2 2 1 2 2 2 2 1 2 2 2 2 2 2 1 2 2 2 2 0 2 2 2 2 2 2 1 2 2 2 2 2 1 1 1
|
| 26 |
-
1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
|
| 27 |
-
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1]
|
| 28 |
-
- Y Pred: [0 0 0 0 0 0 2 0 0 0 2 0 0 2 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
|
| 29 |
-
0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 1 2 2 2 2 2 2 2 0 2 2 2 2 2 2 2 2 2 2 2 2
|
| 30 |
-
2 2 2 2 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 0 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1
|
| 31 |
-
1 1 1 1 2 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 2 2 1 1 1
|
| 32 |
-
1 1 1 1 2 1 1 1 0 1 1 1 1 1 2 1 1 1 1]
|
| 33 |
- Accuracy: 0.8743
|
| 34 |
- F1: 0.8753
|
| 35 |
- Precision: 0.8944
|
|
|
|
| 19 |
|
| 20 |
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
|
| 21 |
It achieves the following results on the evaluation set:
|
| 22 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 23 |
- Accuracy: 0.8743
|
| 24 |
- F1: 0.8753
|
| 25 |
- Precision: 0.8944
|