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-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: task-1
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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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# task-1
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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: 0.3915
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- Accuracy: 0.874
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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_FUSED 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: 2
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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 | 125 | 0.3983 | 0.882 |
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| No log | 2.0 | 250 | 0.3915 | 0.874 |
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### Framework versions
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- Transformers 4.57.3
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- Pytorch 2.9.1+cu128
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- Datasets 4.0.0
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- Tokenizers 0.22.1
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runs/Jan12_01-55-41_8f5c239eb2b3/events.out.tfevents.1768183195.8f5c239eb2b3.1936.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:793e28ee8fac4e22d2cd778b534a7aad833e608439fd3da6773847d5687e6afe
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size 411
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