Update README.md

README.md

@@ -1,79 +1,79 @@
----
-tags:
-- generated_from_trainer
-base_model: sentence-transformers/multi-qa-MiniLM-L6-cos-v1
-metrics:
-- accuracy
-- precision
-- recall
-- f1
-model-index:
-- name: all_keywords_multi-qa-MiniLM-L6-cos-v1_another
-  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. -->
-
-# all_keywords_multi-qa-MiniLM-L6-cos-v1_another
-
-This model is a fine-tuned version of [sentence-transformers/multi-qa-MiniLM-L6-cos-v1](https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.7780
-- Accuracy: 0.5526
-- Precision: 0.5526
-- Recall: 0.5526
-- F1: 0.5526
-
-## 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: 5e-05
-- train_batch_size: 4
-- eval_batch_size: 4
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 15
-
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 2.3017        | 1.0   | 712   | 2.0180          | 0.4362   | 0.4362    | 0.4362 | 0.4362 |
-| 2.09          | 2.0   | 1424  | 1.8306          | 0.4390   | 0.4390    | 0.4390 | 0.4390 |
-| 1.775         | 3.0   | 2136  | 1.7843          | 0.4783   | 0.4783    | 0.4783 | 0.4783 |
-| 1.5811        | 4.0   | 2848  | 1.7686          | 0.5175   | 0.5175    | 0.5175 | 0.5175 |
-| 1.2665        | 5.0   | 3560  | 1.7257          | 0.5147   | 0.5147    | 0.5147 | 0.5147 |
-| 1.0957        | 6.0   | 4272  | 1.8126          | 0.5568   | 0.5568    | 0.5568 | 0.5568 |
-| 0.9661        | 7.0   | 4984  | 2.0472          | 0.5386   | 0.5386    | 0.5386 | 0.5386 |
-| 0.7399        | 8.0   | 5696  | 2.1375          | 0.5428   | 0.5428    | 0.5428 | 0.5428 |
-| 0.6533        | 9.0   | 6408  | 2.2761          | 0.5400   | 0.5400    | 0.5400 | 0.5400 |
-| 0.5268        | 10.0  | 7120  | 2.4777          | 0.5400   | 0.5400    | 0.5400 | 0.5400 |
-| 0.5067        | 11.0  | 7832  | 2.6160          | 0.5372   | 0.5372    | 0.5372 | 0.5372 |
-| 0.4209        | 12.0  | 8544  | 2.6253          | 0.5512   | 0.5512    | 0.5512 | 0.5512 |
-| 0.4102        | 13.0  | 9256  | 2.7287          | 0.5442   | 0.5442    | 0.5442 | 0.5442 |
-| 0.3405        | 14.0  | 9968  | 2.7607          | 0.5470   | 0.5470    | 0.5470 | 0.5470 |
-| 0.3278        | 15.0  | 10680 | 2.7780          | 0.5526   | 0.5526    | 0.5526 | 0.5526 |
-
-
-### Framework versions
-
-- Transformers 4.39.3
-- Pytorch 2.2.1+cu118
-- Datasets 2.14.7
-- Tokenizers 0.15.2
+---
+tags:
+- generated_from_trainer
+base_model: sentence-transformers/multi-qa-MiniLM-L6-cos-v1
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: all_keywords_multi-qa-MiniLM-L6-cos-v1_another
+  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. -->
+
+# all_keywords_multi-qa-MiniLM-L6-cos-v1_another
+
+This model is a fine-tuned version of [sentence-transformers/multi-qa-MiniLM-L6-cos-v1](https://huggingface.co/sentence-transformers/multi-qa-MiniLM-L6-cos-v1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.7780
+- Accuracy: 0.5526
+- Precision: 0.5526
+- Recall: 0.5526
+- F1: 0.5526
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 2.3017        | 1.0   | 712   | 2.0180          | 0.4362   |
+| 2.09          | 2.0   | 1424  | 1.8306          | 0.4390   |
+| 1.775         | 3.0   | 2136  | 1.7843          | 0.4783   |
+| 1.5811        | 4.0   | 2848  | 1.7686          | 0.5175   |
+| 1.2665        | 5.0   | 3560  | 1.7257          | 0.5147   |
+| 1.0957        | 6.0   | 4272  | 1.8126          | 0.5568   |
+| 0.9661        | 7.0   | 4984  | 2.0472          | 0.5386   |
+| 0.7399        | 8.0   | 5696  | 2.1375          | 0.5428   |
+| 0.6533        | 9.0   | 6408  | 2.2761          | 0.5400   |
+| 0.5268        | 10.0  | 7120  | 2.4777          | 0.5400   |
+| 0.5067        | 11.0  | 7832  | 2.6160          | 0.5372   |
+| 0.4209        | 12.0  | 8544  | 2.6253          | 0.5512   |
+| 0.4102        | 13.0  | 9256  | 2.7287          | 0.5442   |
+| 0.3405        | 14.0  | 9968  | 2.7607          | 0.5470   |
+| 0.3278        | 15.0  | 10680 | 2.7780          | 0.5526   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1+cu118
+- Datasets 2.14.7
+- Tokenizers 0.15.2