Instructions to use LexFerrinson/FirulaiModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LexFerrinson/FirulaiModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="LexFerrinson/FirulaiModel")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("LexFerrinson/FirulaiModel") model = AutoModelForTokenClassification.from_pretrained("LexFerrinson/FirulaiModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
30e30c6
1
Parent(s): 3189f84
Training in progress epoch 2
Browse files
README.md
CHANGED
|
@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
This model is a fine-tuned version of [FirulAI/FirstModel](https://huggingface.co/FirulAI/FirstModel) on an unknown dataset.
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
-
- Train Loss: 0.
|
| 19 |
- Validation Loss: 0.7565
|
| 20 |
- Train Precision: 0.0
|
| 21 |
- Train Recall: 0.0
|
| 22 |
- Train F1: 0.0
|
| 23 |
- Train Accuracy: 0.9082
|
| 24 |
-
- Epoch:
|
| 25 |
|
| 26 |
## Model description
|
| 27 |
|
|
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
|
|
| 49 |
|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
|
| 50 |
| 0.7652 | 0.7565 | 0.0 | 0.0 | 0.0 | 0.9082 | 0 |
|
| 51 |
| 0.7588 | 0.7565 | 0.0 | 0.0 | 0.0 | 0.9082 | 1 |
|
|
|
|
| 52 |
|
| 53 |
|
| 54 |
### Framework versions
|
|
|
|
| 15 |
|
| 16 |
This model is a fine-tuned version of [FirulAI/FirstModel](https://huggingface.co/FirulAI/FirstModel) on an unknown dataset.
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
+
- Train Loss: 0.7569
|
| 19 |
- Validation Loss: 0.7565
|
| 20 |
- Train Precision: 0.0
|
| 21 |
- Train Recall: 0.0
|
| 22 |
- Train F1: 0.0
|
| 23 |
- Train Accuracy: 0.9082
|
| 24 |
+
- Epoch: 2
|
| 25 |
|
| 26 |
## Model description
|
| 27 |
|
|
|
|
| 49 |
|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
|
| 50 |
| 0.7652 | 0.7565 | 0.0 | 0.0 | 0.0 | 0.9082 | 0 |
|
| 51 |
| 0.7588 | 0.7565 | 0.0 | 0.0 | 0.0 | 0.9082 | 1 |
|
| 52 |
+
| 0.7569 | 0.7565 | 0.0 | 0.0 | 0.0 | 0.9082 | 2 |
|
| 53 |
|
| 54 |
|
| 55 |
### Framework versions
|