Text Classification
Transformers
TensorBoard
Safetensors
mistral
Generated from Trainer
text-embeddings-inference
Instructions to use xshubhamx/tiny-mistral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xshubhamx/tiny-mistral with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xshubhamx/tiny-mistral")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xshubhamx/tiny-mistral") model = AutoModelForSequenceClassification.from_pretrained("xshubhamx/tiny-mistral", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -10,6 +10,27 @@ model-index:
|
|
| 10 |
- name: tiny-mistral
|
| 11 |
results: []
|
| 12 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
|
| 14 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
should probably proofread and complete it, then remove this comment. -->
|
|
|
|
| 10 |
- name: tiny-mistral
|
| 11 |
results: []
|
| 12 |
---
|
| 13 |
+
## Metrics
|
| 14 |
+
|
| 15 |
+
- loss: 2.4489
|
| 16 |
+
- accuracy: 0.7250
|
| 17 |
+
- precision: 0.7150
|
| 18 |
+
- recall: 0.7250
|
| 19 |
+
- precision_macro: 0.6583
|
| 20 |
+
- recall_macro: 0.6262
|
| 21 |
+
- macro_fpr: 0.0278
|
| 22 |
+
- weighted_fpr: 0.0264
|
| 23 |
+
- weighted_specificity: 0.9597
|
| 24 |
+
- macro_specificity: 0.9790
|
| 25 |
+
- weighted_sensitivity: 0.7250
|
| 26 |
+
- macro_sensitivity: 0.6262
|
| 27 |
+
- f1_micro: 0.7250
|
| 28 |
+
- f1_macro: 0.6317
|
| 29 |
+
- f1_weighted: 0.7155
|
| 30 |
+
- runtime: 27.7396
|
| 31 |
+
- samples_per_second: 46.5400
|
| 32 |
+
- steps_per_second: 5.8400
|
| 33 |
+
|
| 34 |
|
| 35 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 36 |
should probably proofread and complete it, then remove this comment. -->
|