Uploading food not food text classifier model

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0009
+- Loss: 0.0000
 - Accuracy: 1.0
 
 ## Model description
@@ -37,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 0.0001
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -49,21 +49,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0129        | 1.0   | 7    | 0.0063          | 1.0      |
-| 0.006         | 2.0   | 14   | 0.0034          | 1.0      |
-| 0.0034        | 3.0   | 21   | 0.0022          | 1.0      |
-| 0.0025        | 4.0   | 28   | 0.0017          | 1.0      |
-| 0.002         | 5.0   | 35   | 0.0014          | 1.0      |
-| 0.0016        | 6.0   | 42   | 0.0012          | 1.0      |
-| 0.0015        | 7.0   | 49   | 0.0011          | 1.0      |
-| 0.0013        | 8.0   | 56   | 0.0010          | 1.0      |
-| 0.0013        | 9.0   | 63   | 0.0010          | 1.0      |
-| 0.0012        | 10.0  | 70   | 0.0009          | 1.0      |
+| 0.0003        | 1.0   | 7    | 0.0000          | 1.0      |
+| 0.0           | 2.0   | 14   | 0.0000          | 1.0      |
+| 0.0           | 3.0   | 21   | 0.0000          | 1.0      |
+| 0.0           | 4.0   | 28   | 0.0000          | 1.0      |
+| 0.0           | 5.0   | 35   | 0.0000          | 1.0      |
+| 0.0           | 6.0   | 42   | 0.0000          | 1.0      |
+| 0.0           | 7.0   | 49   | 0.0000          | 1.0      |
+| 0.0           | 8.0   | 56   | 0.0000          | 1.0      |
+| 0.0           | 9.0   | 63   | 0.0000          | 1.0      |
+| 0.0           | 10.0  | 70   | 0.0000          | 1.0      |
 
 
 ### Framework versions
 
-- Transformers 4.40.2
+- Transformers 4.41.2
 - Pytorch 2.2.0+cu121
 - Datasets 2.19.1
 - Tokenizers 0.19.1

config.json

@@ -28,6 +28,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.40.2",
+  "transformers_version": "4.41.2",
   "vocab_size": 30522
 }

model.safetensors

@@ -1,3 +1,3 @@
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 size 267832560

runs/Jun14_11-21-26_DESKTOP-TMAEDD2/events.out.tfevents.1718328118.DESKTOP-TMAEDD2

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tokenizer.json

@@ -6,7 +6,14 @@
     "strategy": "LongestFirst",
     "stride": 0
   },
-  "padding": null,
+  "padding": {
+    "strategy": "BatchLongest",
+    "direction": "Right",
+    "pad_to_multiple_of": null,
+    "pad_id": 0,
+    "pad_type_id": 0,
+    "pad_token": "[PAD]"
+  },
   "added_tokens": [
     {
       "id": 0,

training_args.bin

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