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Realgon
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distilbert_agnews_padding20model

Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
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@@ -5,9 +5,24 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - ag_news
 
 
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  model-index:
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  - name: distilbert_agnews_padding20model
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # distilbert_agnews_padding20model
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the ag_news dataset.
 
 
 
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  ## Model description
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@@ -40,18 +58,37 @@ The following hyperparameters were used during training:
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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: 0.01
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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 | 0.01 | 75 | 0.6930 | 0.8576 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.32.1
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- - Pytorch 2.1.1
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- - Datasets 2.12.0
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  - Tokenizers 0.13.3
 
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  - generated_from_trainer
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  datasets:
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  - ag_news
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: distilbert_agnews_padding20model
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: ag_news
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+ type: ag_news
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+ config: default
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+ split: test
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+ args: default
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.9452631578947368
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # distilbert_agnews_padding20model
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the ag_news dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6477
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+ - Accuracy: 0.9453
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  ## Model description
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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: 20
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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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+ | 0.18 | 1.0 | 7500 | 0.1831 | 0.9426 |
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+ | 0.1365 | 2.0 | 15000 | 0.2039 | 0.9420 |
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+ | 0.1176 | 3.0 | 22500 | 0.2202 | 0.9470 |
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+ | 0.0899 | 4.0 | 30000 | 0.2601 | 0.9443 |
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+ | 0.0547 | 5.0 | 37500 | 0.2919 | 0.9429 |
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+ | 0.0387 | 6.0 | 45000 | 0.3618 | 0.9459 |
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+ | 0.0351 | 7.0 | 52500 | 0.4129 | 0.9413 |
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+ | 0.031 | 8.0 | 60000 | 0.4379 | 0.9436 |
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+ | 0.0171 | 9.0 | 67500 | 0.4794 | 0.9429 |
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+ | 0.0156 | 10.0 | 75000 | 0.4744 | 0.9438 |
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+ | 0.0147 | 11.0 | 82500 | 0.4832 | 0.9457 |
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+ | 0.0108 | 12.0 | 90000 | 0.5166 | 0.9447 |
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+ | 0.0034 | 13.0 | 97500 | 0.5083 | 0.9459 |
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+ | 0.0065 | 14.0 | 105000 | 0.5451 | 0.9446 |
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+ | 0.0062 | 15.0 | 112500 | 0.5926 | 0.9443 |
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+ | 0.0031 | 16.0 | 120000 | 0.6059 | 0.9433 |
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+ | 0.001 | 17.0 | 127500 | 0.6312 | 0.9463 |
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+ | 0.0004 | 18.0 | 135000 | 0.6197 | 0.9454 |
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+ | 0.0004 | 19.0 | 142500 | 0.6472 | 0.9455 |
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+ | 0.0002 | 20.0 | 150000 | 0.6477 | 0.9453 |
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  ### Framework versions
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+ - Transformers 4.33.2
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.14.5
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  - Tokenizers 0.13.3