End of training
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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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metrics:
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- accuracy
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model-index:
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- name: working
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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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# working
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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: 0.0001
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- Accuracy: 1.0
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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: Use OptimizerNames.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 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 80 | 0.0043 | 1.0 |
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| No log | 2.0 | 160 | 0.0012 | 1.0 |
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| No log | 3.0 | 240 | 0.0006 | 1.0 |
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| No log | 4.0 | 320 | 0.0004 | 1.0 |
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| No log | 5.0 | 400 | 0.0003 | 1.0 |
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| No log | 6.0 | 480 | 0.0002 | 1.0 |
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| 0.0304 | 7.0 | 560 | 0.0002 | 1.0 |
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| 0.0304 | 8.0 | 640 | 0.0002 | 1.0 |
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| 0.0304 | 9.0 | 720 | 0.0001 | 1.0 |
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| 0.0304 | 10.0 | 800 | 0.0001 | 1.0 |
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### Framework versions
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- Transformers 4.47.1
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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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runs/Jan20_10-06-03_e1b985b7dd2c/events.out.tfevents.1737367564.e1b985b7dd2c.1520.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 8844
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