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--- |
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base_model: distilbert-base-uncased |
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library_name: peft |
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license: apache-2.0 |
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metrics: |
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- f1 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilbert-base-uncased-imdb-text-classification_test2_DistilBERT |
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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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# distilbert-base-uncased-imdb-text-classification_test2_DistilBERT |
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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: 0.9327 |
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- F1: 0.8909 |
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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: 0.001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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 | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.0879 | 1.0 | 125 | 0.3749 | 0.8850 | |
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| 0.416 | 2.0 | 250 | 0.4055 | 0.8850 | |
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| 0.166 | 3.0 | 375 | 0.5054 | 0.8785 | |
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| 0.0023 | 4.0 | 500 | 0.7333 | 0.8762 | |
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| 0.0027 | 5.0 | 625 | 0.7895 | 0.8870 | |
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| 0.0002 | 6.0 | 750 | 0.8135 | 0.8807 | |
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| 0.0 | 7.0 | 875 | 0.8169 | 0.8991 | |
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| 0.0006 | 8.0 | 1000 | 0.8892 | 0.9027 | |
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| 0.0025 | 9.0 | 1125 | 0.9300 | 0.8909 | |
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| 0.0004 | 10.0 | 1250 | 0.9327 | 0.8909 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
