Update README.md

README.md

@@ -15,44 +15,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tool-bert
 
-This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0158
-- Accuracy: 0.9886
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased).
 
-## Model description
+It uses a custom made dataset of sample user instructions, which are classified to a number of possible local assistant function calling endpoints. 
 
-More information needed
+For example, given an input query, tool-bert returns a prediction as to what tool to use to augment a downstream LLM generated output with. 
 
-## Intended uses & limitations
+More information on these tools to follow, but example tools are "play music", "check the weather", "get the news", "take a photo", or use no tool. 
 
-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: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 3.0
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 64   | 0.1104          | 0.9830   |
-| No log        | 2.0   | 128  | 0.0222          | 0.9886   |
-| No log        | 3.0   | 192  | 0.0158          | 0.9886   |
+Basically, this model is meant to be a means of allowing very small LLMs (i.e. 8B and below) to use function calling. 
 
+All limitations and biases are inherited from the parent model. 
 
 ### Framework versions