Commit ·
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Parent(s): 760536c
End of training
Browse files- README.md +68 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: distilbert-base-uncased-text-classification-v5
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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-text-classification-v5
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2879
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- F1: 0.8471
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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: 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: 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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| 1.3863 | 1.0 | 569 | 0.7220 | 0.4679 |
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| 0.6212 | 2.0 | 1138 | 0.4596 | 0.6839 |
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| 0.3746 | 3.0 | 1707 | 0.3441 | 0.7901 |
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| 0.2685 | 4.0 | 2276 | 0.3036 | 0.8204 |
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| 0.172 | 5.0 | 2845 | 0.2884 | 0.8289 |
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| 0.1328 | 6.0 | 3414 | 0.2879 | 0.8471 |
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| 0.1068 | 7.0 | 3983 | 0.2957 | 0.8400 |
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| 0.0757 | 8.0 | 4552 | 0.2917 | 0.8464 |
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| 0.0693 | 9.0 | 5121 | 0.2931 | 0.8404 |
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| 0.0651 | 10.0 | 5690 | 0.2921 | 0.8428 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 267945194
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version https://git-lfs.github.com/spec/v1
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size 267945194
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