Training complete
Browse files
README.md
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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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model-index:
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- name: distillbert-fineturned-imdb
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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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should probably proofread and complete it, then remove this comment. -->
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# distillbert-fineturned-imdb
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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: 2.2924
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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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: 64
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- eval_batch_size: 64
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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: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.5335 | 1.0 | 958 | 2.3575 |
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| 2.4247 | 2.0 | 1916 | 2.3123 |
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| 2.3883 | 3.0 | 2874 | 2.2982 |
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### Framework versions
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- Transformers 4.39.1
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- Pytorch 2.2.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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