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distilbert-irony-hyper

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  1. README.md +11 -11
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. run-0/checkpoint-180/config.json +25 -0
  5. run-0/checkpoint-180/model.safetensors +3 -0
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README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
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  license: apache-2.0
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- base_model: distilbert-base-uncased
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  tags:
5
  - generated_from_trainer
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  metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # results
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18
- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.5392
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- - Accuracy: 0.7362
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  ## Model description
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@@ -37,10 +37,10 @@ More information needed
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  ### Training hyperparameters
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39
  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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- - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - num_epochs: 5
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 179 | 0.6078 | 0.6534 |
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- | No log | 2.0 | 358 | 0.6082 | 0.6681 |
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- | 0.5295 | 3.0 | 537 | 0.6529 | 0.6796 |
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- | 0.5295 | 4.0 | 716 | 0.7743 | 0.6859 |
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- | 0.5295 | 5.0 | 895 | 0.8280 | 0.6827 |
57
 
58
 
59
  ### Framework versions
 
1
  ---
2
  license: apache-2.0
3
+ base_model: lilyray/results
4
  tags:
5
  - generated_from_trainer
6
  metrics:
 
15
 
16
  # results
17
 
18
+ This model is a fine-tuned version of [lilyray/results](https://huggingface.co/lilyray/results) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.6652
21
+ - Accuracy: 0.6314
22
 
23
  ## Model description
24
 
 
37
  ### Training hyperparameters
38
 
39
  The following hyperparameters were used during training:
40
+ - learning_rate: 1.8306204953054156e-05
41
  - train_batch_size: 16
42
  - eval_batch_size: 16
43
+ - seed: 21
44
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
  - lr_scheduler_type: linear
46
  - num_epochs: 5
 
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
+ | No log | 1.0 | 179 | 0.5900 | 0.6866 |
53
+ | No log | 2.0 | 358 | 0.6840 | 0.6725 |
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+ | 0.4042 | 3.0 | 537 | 0.8741 | 0.6788 |
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+ | 0.4042 | 4.0 | 716 | 0.9795 | 0.6830 |
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+ | 0.4042 | 5.0 | 895 | 1.1036 | 0.6892 |
57
 
58
 
59
  ### Framework versions
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