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LogischeIP
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SentimentT2

Text Classification
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distilbert
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  1. README.md +17 -17
  2. config.json +0 -14
  3. model.safetensors +2 -2
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README.md CHANGED
@@ -16,13 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  # SentimentT2
18
 
19
- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 5.1316
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- - Accuracy: 0.6143
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- - F1: 0.6141
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- - Auc Roc: 0.8480
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- - Log Loss: 4.8354
26
 
27
  ## Model description
28
 
@@ -41,7 +41,7 @@ More information needed
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  ### Training hyperparameters
42
 
43
  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 40
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  - eval_batch_size: 10
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  - seed: 42
@@ -54,16 +54,16 @@ The following hyperparameters were used during training:
54
 
55
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Auc Roc | Log Loss |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-------:|:--------:|
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- | No log | 1.0 | 7 | 4.9260 | 0.5714 | 0.5720 | 0.8449 | 4.7441 |
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- | No log | 2.0 | 14 | 5.0398 | 0.5857 | 0.5850 | 0.8463 | 4.8234 |
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- | No log | 3.0 | 21 | 5.0899 | 0.6 | 0.5983 | 0.8457 | 4.8482 |
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- | No log | 4.0 | 28 | 5.1227 | 0.6 | 0.5983 | 0.8471 | 4.8646 |
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- | No log | 5.0 | 35 | 5.1350 | 0.6 | 0.5983 | 0.8473 | 4.8639 |
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- | No log | 6.0 | 42 | 5.1155 | 0.6143 | 0.6141 | 0.8477 | 4.8342 |
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- | No log | 7.0 | 49 | 5.1197 | 0.6143 | 0.6141 | 0.8475 | 4.8321 |
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- | No log | 8.0 | 56 | 5.1254 | 0.6143 | 0.6141 | 0.8476 | 4.8331 |
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- | No log | 9.0 | 63 | 5.1317 | 0.6143 | 0.6141 | 0.8480 | 4.8364 |
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- | 0.0 | 10.0 | 70 | 5.1316 | 0.6143 | 0.6141 | 0.8480 | 4.8354 |
67
 
68
 
69
  ### Framework versions
 
16
 
17
  # SentimentT2
18
 
19
+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.5309
22
+ - Accuracy: 0.875
23
+ - F1: 0.5098
24
+ - Auc Roc: 0.9113
25
+ - Log Loss: 0.5309
26
 
27
  ## Model description
28
 
 
41
  ### Training hyperparameters
42
 
43
  The following hyperparameters were used during training:
44
+ - learning_rate: 5e-05
45
  - train_batch_size: 40
46
  - eval_batch_size: 10
47
  - seed: 42
 
54
 
55
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Auc Roc | Log Loss |
56
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-------:|:--------:|
57
+ | No log | 1.0 | 13 | 0.4223 | 0.84 | 0.0 | 0.8263 | 0.4223 |
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+ | No log | 2.0 | 26 | 0.3733 | 0.84 | 0.0 | 0.8826 | 0.3733 |
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+ | No log | 3.0 | 39 | 0.3542 | 0.85 | 0.25 | 0.9012 | 0.3542 |
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+ | No log | 4.0 | 52 | 0.2945 | 0.88 | 0.625 | 0.8955 | 0.2945 |
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+ | No log | 5.0 | 65 | 0.3566 | 0.875 | 0.5283 | 0.9111 | 0.3566 |
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+ | No log | 6.0 | 78 | 0.4393 | 0.865 | 0.4906 | 0.9049 | 0.4393 |
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+ | No log | 7.0 | 91 | 0.4951 | 0.865 | 0.4706 | 0.9085 | 0.4951 |
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+ | No log | 8.0 | 104 | 0.4460 | 0.885 | 0.6102 | 0.9057 | 0.4460 |
65
+ | No log | 9.0 | 117 | 0.5089 | 0.87 | 0.5000 | 0.9094 | 0.5089 |
66
+ | 0.1739 | 10.0 | 130 | 0.5309 | 0.875 | 0.5098 | 0.9113 | 0.5309 |
67
 
68
 
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  ### Framework versions
config.json CHANGED
@@ -8,21 +8,7 @@
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  "initializer_range": 0.02,
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- "LABEL_1": 1,
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- "LABEL_4": 4
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  "max_position_embeddings": 512,
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  "model_type": "distilbert",
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  "n_heads": 12,
 
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  "dim": 768,
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  "dropout": 0.1,
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  "initializer_range": 0.02,
 
 
 
 
 
 
 
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  "max_position_embeddings": 512,
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  "model_type": "distilbert",
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training_args.bin CHANGED
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  size 4664
 
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  version https://git-lfs.github.com/spec/v1
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  size 4664