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End of training

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README.md ADDED
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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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+ datasets:
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+ - imdb
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: N_distilbert_imdb_padding70model
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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: imdb
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+ type: imdb
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+ config: plain_text
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+ split: test
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+ args: plain_text
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.92932
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+ ---
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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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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # N_distilbert_imdb_padding70model
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+
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7329
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+ - Accuracy: 0.9293
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.243 | 1.0 | 1563 | 0.2326 | 0.9132 |
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+ | 0.1814 | 2.0 | 3126 | 0.2110 | 0.9285 |
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+ | 0.1108 | 3.0 | 4689 | 0.3094 | 0.9227 |
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+ | 0.0738 | 4.0 | 6252 | 0.3288 | 0.9263 |
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+ | 0.0487 | 5.0 | 7815 | 0.4211 | 0.9267 |
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+ | 0.0437 | 6.0 | 9378 | 0.4656 | 0.9265 |
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+ | 0.0206 | 7.0 | 10941 | 0.5168 | 0.9272 |
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+ | 0.0271 | 8.0 | 12504 | 0.5283 | 0.9281 |
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+ | 0.0222 | 9.0 | 14067 | 0.5181 | 0.927 |
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+ | 0.0214 | 10.0 | 15630 | 0.5876 | 0.9265 |
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+ | 0.0185 | 11.0 | 17193 | 0.6311 | 0.9264 |
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+ | 0.0099 | 12.0 | 18756 | 0.6656 | 0.927 |
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+ | 0.0084 | 13.0 | 20319 | 0.6685 | 0.9254 |
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+ | 0.0025 | 14.0 | 21882 | 0.7040 | 0.9256 |
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+ | 0.0047 | 15.0 | 23445 | 0.7220 | 0.9295 |
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+ | 0.0041 | 16.0 | 25008 | 0.7185 | 0.9270 |
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+ | 0.0028 | 17.0 | 26571 | 0.7079 | 0.93 |
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+ | 0.0037 | 18.0 | 28134 | 0.7378 | 0.9269 |
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+ | 0.0019 | 19.0 | 29697 | 0.7255 | 0.9288 |
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+ | 0.0001 | 20.0 | 31260 | 0.7329 | 0.9293 |
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+
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+
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+ ### Framework versions
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+
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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
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