aift-model-review-multiple-label-classification

README.md

@@ -15,8 +15,8 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.1256
-- Accuracy Thresh: 0.9115
+- Loss: 1.9102
+- Accuracy Thresh: 0.9324
 
 ## Model description
 
@@ -48,21 +48,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
 |:-------------:|:-----:|:----:|:---------------:|:---------------:|
-| 2.2235        | 1.0   | 584  | 1.2682          | 0.7171          |
-| 1.1638        | 2.0   | 1168 | 1.1630          | 0.8122          |
-| 0.8698        | 3.0   | 1752 | 1.3732          | 0.8635          |
-| 0.7107        | 4.0   | 2336 | 1.5609          | 0.8770          |
-| 0.542         | 5.0   | 2920 | 1.9944          | 0.8927          |
-| 0.3618        | 6.0   | 3504 | 2.2950          | 0.9012          |
-| 0.2842        | 7.0   | 4088 | 2.5621          | 0.9018          |
-| 0.2358        | 8.0   | 4672 | 2.8400          | 0.9079          |
-| 0.2135        | 9.0   | 5256 | 3.1208          | 0.9111          |
-| 0.1731        | 10.0  | 5840 | 3.1256          | 0.9115          |
+| No log        | 1.0   | 407  | 1.0569          | 0.8140          |
+| 2.0882        | 2.0   | 814  | 0.8827          | 0.8299          |
+| 0.8307        | 3.0   | 1221 | 0.9532          | 0.8789          |
+| 0.6022        | 4.0   | 1628 | 1.1407          | 0.9077          |
+| 0.438         | 5.0   | 2035 | 1.2774          | 0.9176          |
+| 0.438         | 6.0   | 2442 | 1.6056          | 0.9212          |
+| 0.363         | 7.0   | 2849 | 1.6522          | 0.9279          |
+| 0.2773        | 8.0   | 3256 | 1.7484          | 0.9301          |
+| 0.2365        | 9.0   | 3663 | 1.7665          | 0.9322          |
+| 0.1952        | 10.0  | 4070 | 1.9102          | 0.9324          |
 
 
 ### Framework versions
 
-- Transformers 4.37.1
+- Transformers 4.37.2
 - Pytorch 2.0.0+cu118
 - Datasets 2.16.1
 - Tokenizers 0.15.0

config.json

@@ -42,6 +42,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.37.1",
+  "transformers_version": "4.37.2",
   "vocab_size": 30522
 }

model.safetensors

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runs/Jan29_07-53-38_aift-review-classification-multiple-label/events.out.tfevents.1706514828.aift-review-classification-multiple-label.3346014.2

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training_args.bin

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