Instructions to use Extrabass/checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Extrabass/checkpoint with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Extrabass/checkpoint")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Extrabass/checkpoint") model = AutoModelForSequenceClassification.from_pretrained("Extrabass/checkpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +5 -5
- model.safetensors +1 -1
- runs/Apr17_22-34-05_ml/events.out.tfevents.1713364445.ml.553623.0 +3 -0
- training_args.bin +1 -1
README.md
CHANGED
|
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [google-bert/bert-base-chinese](https://huggingface.co/google-bert/bert-base-chinese) on an unknown dataset.
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
-
- Loss: 0.
|
| 20 |
-
- Accuracy:
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|
|
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
|
|
| 48 |
|
| 49 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 50 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 51 |
-
| No log | 1.0 |
|
| 52 |
-
| No log | 2.0 |
|
| 53 |
-
| 0.
|
| 54 |
|
| 55 |
|
| 56 |
### Framework versions
|
|
|
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [google-bert/bert-base-chinese](https://huggingface.co/google-bert/bert-base-chinese) on an unknown dataset.
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.0002
|
| 20 |
+
- Accuracy: 1.0
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|
|
|
|
| 48 |
|
| 49 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 50 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 51 |
+
| No log | 1.0 | 245 | 0.0107 | 0.9959 |
|
| 52 |
+
| No log | 2.0 | 490 | 0.0021 | 0.9980 |
|
| 53 |
+
| 0.0788 | 3.0 | 735 | 0.0002 | 1.0 |
|
| 54 |
|
| 55 |
|
| 56 |
### Framework versions
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 409109468
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ef5d1ccfe505a3d921544b19d5b819775260705420547a7758a6a2aaf0158298
|
| 3 |
size 409109468
|
runs/Apr17_22-34-05_ml/events.out.tfevents.1713364445.ml.553623.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:423ed7d45d642c54d64e7da5bfa029e6f86ff265fbc4bdf44be97774d76f8c99
|
| 3 |
+
size 6200
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4664
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ea7e090d5e7a8991707b4b7f8572c893eb8a45134fbe7adf8a958a9b6a95d1b2
|
| 3 |
size 4664
|