update model card README.md

README.md

@@ -0,0 +1,68 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: lead-reliability-scoring
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# lead-reliability-scoring
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0123
+- F1: 0.9937
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 50   | 0.3866          | 0.5761 |
+| No log        | 2.0   | 100  | 0.3352          | 0.6538 |
+| No log        | 3.0   | 150  | 0.1786          | 0.8283 |
+| No log        | 4.0   | 200  | 0.1862          | 0.8345 |
+| No log        | 5.0   | 250  | 0.1367          | 0.8736 |
+| No log        | 6.0   | 300  | 0.0642          | 0.9477 |
+| No log        | 7.0   | 350  | 0.0343          | 0.9748 |
+| No log        | 8.0   | 400  | 0.0190          | 0.9874 |
+| No log        | 9.0   | 450  | 0.0123          | 0.9937 |
+| 0.2051        | 10.0  | 500  | 0.0058          | 0.9937 |
+
+
+### Framework versions
+
+- Transformers 4.20.0
+- Pytorch 1.11.0+cu113
+- Datasets 2.3.2
+- Tokenizers 0.12.1