End of training
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- pytorch_model.bin +1 -1
README.md
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- generated_from_trainer
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datasets:
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- imdb
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model-index:
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- name: N_distilbert_imdb_padding0model
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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
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# N_distilbert_imdb_padding0model
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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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## 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:
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### Training results
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| Training Loss | Epoch | Step
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### Framework versions
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- Transformers 4.
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- Pytorch 2.0.
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- Datasets 2.14.
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- Tokenizers 0.
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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_padding0model
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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: 0.93296
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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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# N_distilbert_imdb_padding0model
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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: 0.7323
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- Accuracy: 0.9330
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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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| 0.2341 | 1.0 | 1563 | 0.2381 | 0.9157 |
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| 0.1705 | 2.0 | 3126 | 0.2390 | 0.9244 |
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| 0.1026 | 3.0 | 4689 | 0.2963 | 0.9316 |
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| 0.0606 | 4.0 | 6252 | 0.3241 | 0.9300 |
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| 0.0449 | 5.0 | 7815 | 0.4178 | 0.9278 |
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| 0.032 | 6.0 | 9378 | 0.4681 | 0.9274 |
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| 0.0261 | 7.0 | 10941 | 0.4475 | 0.9303 |
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| 0.0193 | 8.0 | 12504 | 0.5411 | 0.9272 |
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| 0.0222 | 9.0 | 14067 | 0.5159 | 0.9279 |
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| 0.018 | 10.0 | 15630 | 0.5166 | 0.9302 |
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| 0.009 | 11.0 | 17193 | 0.6404 | 0.9222 |
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| 0.0055 | 12.0 | 18756 | 0.5728 | 0.9298 |
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| 0.0065 | 13.0 | 20319 | 0.5887 | 0.9311 |
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| 0.0023 | 14.0 | 21882 | 0.6744 | 0.9314 |
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| 0.0039 | 15.0 | 23445 | 0.6904 | 0.9309 |
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| 0.0011 | 16.0 | 25008 | 0.7160 | 0.9334 |
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| 0.0017 | 17.0 | 26571 | 0.7068 | 0.9325 |
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| 0.0 | 18.0 | 28134 | 0.7238 | 0.9314 |
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| 0.0005 | 19.0 | 29697 | 0.7341 | 0.9331 |
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| 0.0003 | 20.0 | 31260 | 0.7323 | 0.9330 |
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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
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pytorch_model.bin
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size 267855533
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version https://git-lfs.github.com/spec/v1
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size 267855533
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