Text Classification
Transformers
TensorFlow
TensorBoard
Safetensors
longformer
Generated from Trainer
Instructions to use nathanReitinger/scotusPRED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nathanReitinger/scotusPRED with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nathanReitinger/scotusPRED")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nathanReitinger/scotusPRED") model = AutoModelForSequenceClassification.from_pretrained("nathanReitinger/scotusPRED", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
0806125
1
Parent(s): 213ae18
Training in progress epoch 2
Browse files- README.md +4 -3
- tf_model.h5 +1 -1
README.md
CHANGED
|
@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
|
| 16 |
It achieves the following results on the evaluation set:
|
| 17 |
-
- Train Loss: 0.
|
| 18 |
-
- Validation Loss: 0.
|
| 19 |
- Train Accuracy: 0.6829
|
| 20 |
-
- Epoch:
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|
|
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
|
|
| 45 |
|:----------:|:---------------:|:--------------:|:-----:|
|
| 46 |
| 0.6433 | 0.6278 | 0.6829 | 0 |
|
| 47 |
| 0.6435 | 0.6222 | 0.6829 | 1 |
|
|
|
|
| 48 |
|
| 49 |
|
| 50 |
### Framework versions
|
|
|
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
|
| 16 |
It achieves the following results on the evaluation set:
|
| 17 |
+
- Train Loss: 0.6372
|
| 18 |
+
- Validation Loss: 0.6196
|
| 19 |
- Train Accuracy: 0.6829
|
| 20 |
+
- Epoch: 2
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|
|
|
|
| 45 |
|:----------:|:---------------:|:--------------:|:-----:|
|
| 46 |
| 0.6433 | 0.6278 | 0.6829 | 0 |
|
| 47 |
| 0.6435 | 0.6222 | 0.6829 | 1 |
|
| 48 |
+
| 0.6372 | 0.6196 | 0.6829 | 2 |
|
| 49 |
|
| 50 |
|
| 51 |
### Framework versions
|
tf_model.h5
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267951808
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:60bbe70a135f50463df5f0d98deea097dc2aac8d439c0931baaac1d010bd4512
|
| 3 |
size 267951808
|