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End of training

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  1. README.md +21 -8
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  ---
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- base_model: neal49/distilbert-sst2-runglue
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # dnd
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- This model is a fine-tuned version of [neal49/distilbert-sst2-runglue](https://huggingface.co/neal49/distilbert-sst2-runglue) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5245
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- - Accuracy: 0.7083
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  ## Model description
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@@ -36,20 +36,33 @@ More information needed
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  ### Training hyperparameters
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  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: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 12 | 0.6182 | 0.6458 |
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- | No log | 2.0 | 24 | 0.5245 | 0.7083 |
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
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+ base_model: mishkashishka/dnd
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # dnd
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+ This model is a fine-tuned version of [mishkashishka/dnd](https://huggingface.co/mishkashishka/dnd) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5005
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+ - Accuracy: 0.8125
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-06
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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: 15
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 12 | 0.5168 | 0.7917 |
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+ | No log | 2.0 | 24 | 0.4877 | 0.8125 |
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+ | No log | 3.0 | 36 | 0.5061 | 0.8125 |
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+ | No log | 4.0 | 48 | 0.4961 | 0.8125 |
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+ | No log | 5.0 | 60 | 0.4954 | 0.8125 |
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+ | No log | 6.0 | 72 | 0.5053 | 0.8125 |
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+ | No log | 7.0 | 84 | 0.4914 | 0.8125 |
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+ | No log | 8.0 | 96 | 0.5002 | 0.8125 |
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+ | No log | 9.0 | 108 | 0.5022 | 0.8125 |
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+ | No log | 10.0 | 120 | 0.5180 | 0.8125 |
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+ | No log | 11.0 | 132 | 0.5162 | 0.8125 |
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+ | No log | 12.0 | 144 | 0.4979 | 0.8125 |
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+ | No log | 13.0 | 156 | 0.5017 | 0.8125 |
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+ | No log | 14.0 | 168 | 0.5016 | 0.8125 |
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+ | No log | 15.0 | 180 | 0.5005 | 0.8125 |
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  ### Framework versions
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