Model save

README.md

@@ -5,6 +5,7 @@ tags:
 - generated_from_trainer
 metrics:
 - accuracy
+- f1
 model-index:
 - name: distilbert-helpdesk-sentiment
   results: []
@@ -17,12 +18,13 @@ 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: 0.3008
-- Accuracy: 0.9417
+- Loss: 0.0016
+- Accuracy: 1.0
+- F1: 1.0
 
 ## Model description
 
-Model was trained on Dataset of abstractive summaries of customer and helpdesk which include mixed sentiment[negative and positive] in single sample(sentence) but data labeled carefully to customer's sentiment.
+More information needed
 
 ## Intended uses & limitations
 
@@ -43,27 +45,20 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 7
+- num_epochs: 6
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.68  | 100  | 0.3234          | 0.8932   |
-| No log        | 1.35  | 200  | 0.3211          | 0.9029   |
-| No log        | 2.03  | 300  | 0.3265          | 0.9126   |
-| No log        | 2.7   | 400  | 0.3553          | 0.9126   |
-| No log        | 3.38  | 500  | 0.3894          | 0.9223   |
-| 0.2663        | 4.05  | 600  | 0.3379          | 0.9223   |
-| 0.2663        | 4.73  | 700  | 0.2877          | 0.9320   |
-| 0.2663        | 5.41  | 800  | 0.3072          | 0.9417   |
-| 0.2663        | 6.08  | 900  | 0.2992          | 0.9320   |
-| 0.2663        | 6.76  | 1000 | 0.3008          | 0.9417   |
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1  |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---:|
+| No log        | 1.5385 | 100  | 0.0063          | 1.0      | 1.0 |
+| No log        | 3.0769 | 200  | 0.0024          | 1.0      | 1.0 |
+| 0.0814        | 4.6154 | 300  | 0.0016          | 1.0      | 1.0 |
 
 
 ### Framework versions
 
-- Transformers 4.33.2
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.5
-- Tokenizers 0.13.3
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

runs/Jun02_12-01-41_474c8dc134b5/events.out.tfevents.1717329702.474c8dc134b5.335.0

@@ -1,3 +1,3 @@
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-size 6192
+oid sha256:764ad3e2ca7b3183cfe0b8a4c5f153b1190c9499a52314cc21e84ae0d8bb762e
+size 6546