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adediu25/distilbert-base-uncased-implicit-distilbert-all

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README.md CHANGED
@@ -1,10 +1,11 @@
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  ---
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  license: apache-2.0
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- base_model: distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
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  - accuracy
 
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  model-index:
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  - name: trainer
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  results: []
@@ -17,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6671
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- - Accuracy: {'accuracy': 0.6136936111747194}
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  ## Model description
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@@ -38,32 +39,27 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.001
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- - train_batch_size: 4
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- - eval_batch_size: 4
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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: 10
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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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- | 0.6652 | 1.0 | 5096 | 0.6672 | {'accuracy': 0.6136936111747194} |
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- | 0.6621 | 2.0 | 10192 | 0.6675 | {'accuracy': 0.6136936111747194} |
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- | 0.6702 | 3.0 | 15288 | 0.6711 | {'accuracy': 0.6136936111747194} |
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- | 0.6748 | 4.0 | 20384 | 0.6705 | {'accuracy': 0.6136936111747194} |
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- | 0.6693 | 5.0 | 25480 | 0.6674 | {'accuracy': 0.6136936111747194} |
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- | 0.6594 | 6.0 | 30576 | 0.6672 | {'accuracy': 0.6136936111747194} |
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- | 0.6663 | 7.0 | 35672 | 0.6682 | {'accuracy': 0.6136936111747194} |
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- | 0.6738 | 8.0 | 40768 | 0.6671 | {'accuracy': 0.6136936111747194} |
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- | 0.6669 | 9.0 | 45864 | 0.6671 | {'accuracy': 0.6136936111747194} |
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- | 0.6654 | 10.0 | 50960 | 0.6671 | {'accuracy': 0.6136936111747194} |
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  ### Framework versions
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  - Transformers 4.38.2
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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- - Tokenizers 0.15.2
 
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  ---
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  license: apache-2.0
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+ library_name: peft
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  tags:
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  - generated_from_trainer
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  metrics:
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  - accuracy
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+ base_model: distilbert-base-uncased
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  model-index:
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  - name: trainer
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  results: []
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6720
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+ - Accuracy: {'accuracy': 0.7188000915960614}
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.001
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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: 4
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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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+ | 0.5412 | 1.0 | 2772 | 0.7622 | {'accuracy': 0.6675062972292192} |
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+ | 0.487 | 2.0 | 5544 | 0.7221 | {'accuracy': 0.6936111747194871} |
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+ | 0.4486 | 3.0 | 8316 | 0.6913 | {'accuracy': 0.7105564460728189} |
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+ | 0.4463 | 4.0 | 11088 | 0.6720 | {'accuracy': 0.7188000915960614} |
 
 
 
 
 
 
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  ### Framework versions
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+ - PEFT 0.10.0
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  - Transformers 4.38.2
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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