Model save
Browse files- README.md +68 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: distilbert/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: ATE
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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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# ATE
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.2578
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- F1-score: 0.8064
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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: 1e-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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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-score |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.2899 | 1.0 | 226 | 0.2203 | 0.6838 |
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| 0.1197 | 2.0 | 452 | 0.1892 | 0.7766 |
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| 0.0694 | 3.0 | 678 | 0.1919 | 0.7961 |
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| 0.0459 | 4.0 | 904 | 0.2223 | 0.8008 |
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| 0.0389 | 5.0 | 1130 | 0.2283 | 0.8090 |
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| 0.0268 | 6.0 | 1356 | 0.2374 | 0.8095 |
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| 0.0225 | 7.0 | 1582 | 0.2458 | 0.8084 |
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| 0.0194 | 8.0 | 1808 | 0.2557 | 0.8094 |
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| 0.017 | 9.0 | 2034 | 0.2588 | 0.8106 |
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| 0.0163 | 10.0 | 2260 | 0.2578 | 0.8064 |
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### Framework versions
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- Transformers 4.47.0
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
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size 265473092
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version https://git-lfs.github.com/spec/v1
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size 265473092
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