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LogischeIP
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SentimentT2

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
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LogischeIP commited on
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End of training

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Files changed (46) hide show
  1. README.md +13 -15
  2. config.json +1 -1
  3. model.safetensors +1 -1
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  46. training_args.bin +1 -1
README.md CHANGED
@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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: 0.5072
22
- - Accuracy: 0.8864
23
- - F1: 0.6743
24
- - Auc Roc: 0.9227
25
- - Log Loss: 0.5072
26
 
27
  ## Model description
28
 
@@ -42,24 +42,22 @@ More information needed
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
48
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
49
  - lr_scheduler_type: linear
50
- - lr_scheduler_warmup_ratio: 0.1
51
- - num_epochs: 6
52
 
53
  ### Training results
54
 
55
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Auc Roc | Log Loss |
56
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-------:|:--------:|
57
- | No log | 1.0 | 125 | 0.2532 | 0.8912 | 0.6495 | 0.9322 | 0.2532 |
58
- | No log | 2.0 | 250 | 0.2346 | 0.8944 | 0.6716 | 0.9370 | 0.2346 |
59
- | No log | 3.0 | 375 | 0.3353 | 0.8976 | 0.6893 | 0.9319 | 0.3353 |
60
- | No log | 4.0 | 500 | 0.4296 | 0.8864 | 0.6520 | 0.9284 | 0.4296 |
61
- | No log | 5.0 | 625 | 0.4896 | 0.8856 | 0.6603 | 0.9224 | 0.4896 |
62
- | 0.1517 | 6.0 | 750 | 0.5072 | 0.8864 | 0.6743 | 0.9227 | 0.5072 |
63
 
64
 
65
  ### Framework versions
 
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: 0.4572
22
+ - Accuracy: 0.8168
23
+ - F1: 0.8066
24
+ - Auc Roc: 0.9030
25
+ - Log Loss: 0.4572
26
 
27
  ## Model description
28
 
 
42
 
43
  The following hyperparameters were used during training:
44
  - learning_rate: 5e-05
45
+ - train_batch_size: 32
46
+ - eval_batch_size: 20
47
  - seed: 42
48
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
49
  - lr_scheduler_type: linear
50
+ - num_epochs: 5
 
51
 
52
  ### Training results
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Auc Roc | Log Loss |
55
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-------:|:--------:|
56
+ | 0.6676 | 1.0 | 26 | 0.5624 | 0.7330 | 0.7692 | 0.8710 | 0.5624 |
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+ | 0.4428 | 2.0 | 52 | 0.4274 | 0.8115 | 0.8065 | 0.8901 | 0.4274 |
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+ | 0.2698 | 3.0 | 78 | 0.4124 | 0.8168 | 0.8148 | 0.9091 | 0.4124 |
59
+ | 0.1714 | 4.0 | 104 | 0.4655 | 0.8115 | 0.8105 | 0.8991 | 0.4655 |
60
+ | 0.1088 | 5.0 | 130 | 0.4572 | 0.8168 | 0.8066 | 0.9030 | 0.4572 |
 
61
 
62
 
63
  ### Framework versions
config.json CHANGED
@@ -16,7 +16,7 @@
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  "problem_type": "single_label_classification",
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- "seq_classif_dropout": 0.2,
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