End of training

README.md

@@ -4,8 +4,6 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
-- work_in_progress
-- not-ready
 model-index:
 - name: trx-agg-clsf
   results: []
@@ -18,15 +16,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1321
+- Loss: 1.0772
 
 ## Model description
 
-The model aims to classify the query towards a chatbot of a banking application, in order to determine the aggregation type (count, sum, average) it needs to do on the transaction history of the client
+More information needed
 
 ## Intended uses & limitations
 
-The model is intended for banking chatbot applications
+More information needed
 
 ## Training and evaluation data
 
@@ -49,11 +47,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 1    | 1.1357          |
-| No log        | 2.0   | 2    | 1.1347          |
-| No log        | 3.0   | 3    | 1.1335          |
-| No log        | 4.0   | 4    | 1.1327          |
-| No log        | 5.0   | 5    | 1.1321          |
+| No log        | 1.0   | 1    | 1.0802          |
+| No log        | 2.0   | 2    | 1.0788          |
+| No log        | 3.0   | 3    | 1.0781          |
+| No log        | 4.0   | 4    | 1.0776          |
+| No log        | 5.0   | 5    | 1.0772          |
 
 
 ### Framework versions