End of training
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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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metrics:
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- accuracy
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model-index:
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- name: model_IMDB_peft
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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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# model_IMDB_peft
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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: 0.3273
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- Accuracy: 0.8609
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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: 32
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- eval_batch_size: 32
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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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| 0.5985 | 1.0 | 782 | 0.4118 | 0.8278 |
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| 0.3869 | 2.0 | 1564 | 0.3600 | 0.8443 |
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| 0.3759 | 3.0 | 2346 | 0.3488 | 0.8490 |
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| 0.3587 | 4.0 | 3128 | 0.3379 | 0.8545 |
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| 0.3617 | 5.0 | 3910 | 0.3336 | 0.8571 |
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| 0.351 | 6.0 | 4692 | 0.3305 | 0.8586 |
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| 0.3468 | 7.0 | 5474 | 0.3299 | 0.8592 |
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| 0.3442 | 8.0 | 6256 | 0.3275 | 0.8604 |
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| 0.3493 | 9.0 | 7038 | 0.3298 | 0.8596 |
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| 0.3414 | 10.0 | 7820 | 0.3273 | 0.8609 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.17.0
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- Tokenizers 0.14.0
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