Instructions to use iTroned/self_iterative_v2_targeted_iteration_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iTroned/self_iterative_v2_targeted_iteration_0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("iTroned/self_iterative_v2_targeted_iteration_0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files- README.md +25 -0
- model.safetensors +1 -1
README.md
CHANGED
|
@@ -15,6 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
# self_iterative_v2_targeted_iteration_0
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
|
@@ -41,6 +48,24 @@ The following hyperparameters were used during training:
|
|
| 41 |
- lr_scheduler_type: linear
|
| 42 |
- num_epochs: 30
|
| 43 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 44 |
### Framework versions
|
| 45 |
|
| 46 |
- Transformers 4.50.2
|
|
|
|
| 15 |
# self_iterative_v2_targeted_iteration_0
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 3.4159
|
| 20 |
+
- Accuracy Targeted: 0.6578
|
| 21 |
+
- F1 Macro Targeted: 0.5423
|
| 22 |
+
- F1 Weighted Targeted: 0.6241
|
| 23 |
+
- F1 Macro Total: 0.5423
|
| 24 |
+
- F1 Weighted Total: 0.6241
|
| 25 |
|
| 26 |
## Model description
|
| 27 |
|
|
|
|
| 48 |
- lr_scheduler_type: linear
|
| 49 |
- num_epochs: 30
|
| 50 |
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy Targeted | F1 Macro Targeted | F1 Weighted Targeted | F1 Macro Total | F1 Weighted Total |
|
| 54 |
+
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|:-----------------:|:--------------------:|:--------------:|:-----------------:|
|
| 55 |
+
| 0.9757 | 1.0 | 1100 | 2.4254 | 0.6778 | 0.4040 | 0.5476 | 0.4040 | 0.5476 |
|
| 56 |
+
| 1.0269 | 2.0 | 2200 | 1.8893 | 0.6778 | 0.4040 | 0.5476 | 0.4040 | 0.5476 |
|
| 57 |
+
| 0.8297 | 3.0 | 3300 | 2.1699 | 0.6778 | 0.4040 | 0.5476 | 0.4040 | 0.5476 |
|
| 58 |
+
| 0.8512 | 4.0 | 4400 | 2.6391 | 0.6822 | 0.4249 | 0.5617 | 0.4249 | 0.5617 |
|
| 59 |
+
| 0.5628 | 5.0 | 5500 | 2.8235 | 0.7067 | 0.5298 | 0.6323 | 0.5298 | 0.6323 |
|
| 60 |
+
| 0.4409 | 6.0 | 6600 | 3.4460 | 0.7 | 0.4943 | 0.6090 | 0.4943 | 0.6090 |
|
| 61 |
+
| 0.2887 | 7.0 | 7700 | 3.4159 | 0.6578 | 0.5423 | 0.6241 | 0.5423 | 0.6241 |
|
| 62 |
+
| 0.1924 | 8.0 | 8800 | 4.5434 | 0.6933 | 0.4950 | 0.6075 | 0.4950 | 0.6075 |
|
| 63 |
+
| 0.1614 | 9.0 | 9900 | 5.2029 | 0.6933 | 0.4755 | 0.5957 | 0.4755 | 0.5957 |
|
| 64 |
+
| 0.1742 | 10.0 | 11000 | 4.7218 | 0.6889 | 0.4829 | 0.5990 | 0.4829 | 0.5990 |
|
| 65 |
+
| 0.0835 | 11.0 | 12100 | 5.6677 | 0.6933 | 0.4755 | 0.5957 | 0.4755 | 0.5957 |
|
| 66 |
+
| 0.0722 | 12.0 | 13200 | 5.5034 | 0.68 | 0.4631 | 0.5845 | 0.4631 | 0.5845 |
|
| 67 |
+
|
| 68 |
+
|
| 69 |
### Framework versions
|
| 70 |
|
| 71 |
- Transformers 4.50.2
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1984076392
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9dddc2401d7160ba1693d58d3624f1c45c13ab62bedd51ac25adc20d7bb2d9f5
|
| 3 |
size 1984076392
|