Training in progress epoch 0

README.md

@@ -16,10 +16,10 @@ 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:
-- Train Loss: 0.0025
-- Validation Loss: 0.0013
+- Train Loss: 0.0734
+- Validation Loss: 0.0030
 - Train Accuracy: 1.0
-- Epoch: 1
+- Epoch: 0
 
 ## Model description
 
@@ -45,8 +45,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.0853     | 0.0031          | 1.0            | 0     |
-| 0.0025     | 0.0013          | 1.0            | 1     |
+| 0.0734     | 0.0030          | 1.0            | 0     |
 
 
 ### Framework versions

config.json

@@ -9,13 +9,13 @@
   "dropout": 0.1,
   "hidden_dim": 3072,
   "id2label": {
-    "0": "play_audio",
-    "1": "greeting"
+    "0": "greeting",
+    "1": "play_audio"
   },
   "initializer_range": 0.02,
   "label2id": {
-    "greeting": 1,
-    "play_audio": 0
+    "greeting": 0,
+    "play_audio": 1
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:618749911b66604c3d2362b254dd90671897dcf3a8e2574d38bb09b685471f4d
+oid sha256:f42e386d7855c1afdda5b31219d4e3d3416bf4e073010a5169ae3e79a8041204
 size 267955144