Model save
Browse files- README.md +8 -17
- config.json +1 -1
- training_args.bin +1 -1
README.md
CHANGED
|
@@ -1,10 +1,8 @@
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
-
base_model: astrosbd/fake-reviews-distilbert
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
-
metrics:
|
| 7 |
-
- accuracy
|
| 8 |
model-index:
|
| 9 |
- name: fake-reviews-distilbert-v3
|
| 10 |
results: []
|
|
@@ -15,10 +13,14 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# fake-reviews-distilbert-v3
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [astrosbd/fake-reviews-distilbert](https://huggingface.co/astrosbd/fake-reviews-distilbert) on an unknown dataset.
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
-
-
|
| 21 |
-
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
|
@@ -45,17 +47,6 @@ The following hyperparameters were used during training:
|
|
| 45 |
- lr_scheduler_type: linear
|
| 46 |
- num_epochs: 5
|
| 47 |
|
| 48 |
-
### Training results
|
| 49 |
-
|
| 50 |
-
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 51 |
-
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 52 |
-
| No log | 1.0 | 420 | 0.6513 | 0.6304 |
|
| 53 |
-
| 0.7036 | 2.0 | 840 | 0.7393 | 0.5944 |
|
| 54 |
-
| 0.5522 | 3.0 | 1260 | 0.9045 | 0.5452 |
|
| 55 |
-
| 0.4173 | 4.0 | 1680 | 1.2752 | 0.5060 |
|
| 56 |
-
| 0.3116 | 5.0 | 2100 | 1.3108 | 0.5445 |
|
| 57 |
-
|
| 58 |
-
|
| 59 |
### Framework versions
|
| 60 |
|
| 61 |
- Transformers 4.32.1
|
|
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
+
base_model: astrosbd/fake-reviews-distilbert-v3
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
|
|
|
|
|
|
| 6 |
model-index:
|
| 7 |
- name: fake-reviews-distilbert-v3
|
| 8 |
results: []
|
|
|
|
| 13 |
|
| 14 |
# fake-reviews-distilbert-v3
|
| 15 |
|
| 16 |
+
This model is a fine-tuned version of [astrosbd/fake-reviews-distilbert-v3](https://huggingface.co/astrosbd/fake-reviews-distilbert-v3) on an unknown dataset.
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
+
- eval_loss: 0.1744
|
| 19 |
+
- eval_accuracy: 0.9749
|
| 20 |
+
- eval_runtime: 999.4816
|
| 21 |
+
- eval_samples_per_second: 10.113
|
| 22 |
+
- eval_steps_per_second: 0.316
|
| 23 |
+
- step: 0
|
| 24 |
|
| 25 |
## Model description
|
| 26 |
|
|
|
|
| 47 |
- lr_scheduler_type: linear
|
| 48 |
- num_epochs: 5
|
| 49 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 50 |
### Framework versions
|
| 51 |
|
| 52 |
- Transformers 4.32.1
|
config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "distilbert-
|
| 3 |
"activation": "gelu",
|
| 4 |
"architectures": [
|
| 5 |
"DistilBertForSequenceClassification"
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "astrosbd/fake-reviews-distilbert-v3",
|
| 3 |
"activation": "gelu",
|
| 4 |
"architectures": [
|
| 5 |
"DistilBertForSequenceClassification"
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4536
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:39380c727dbf0ce5343640d022528545432584160f716043b963f5c739696965
|
| 3 |
size 4536
|