End of training
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- model.safetensors +1 -1
README.md
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---
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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: finetuned-distilbert-uncased-on-HOPE
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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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# finetuned-distilbert-uncased-on-HOPE
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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: 1.3303
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- Accuracy: 0.5429
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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: 32
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- eval_batch_size: 32
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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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- lr_scheduler_warmup_ratio: 0.1
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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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| 1.4925 | 1.0 | 289 | 1.4588 | 0.5140 |
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| 1.2379 | 2.0 | 578 | 1.3627 | 0.5339 |
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| 1.0435 | 3.0 | 867 | 1.3433 | 0.5492 |
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| 1.1216 | 4.0 | 1156 | 1.3632 | 0.5357 |
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| 0.9046 | 5.0 | 1445 | 1.4644 | 0.5086 |
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| 0.855 | 6.0 | 1734 | 1.5160 | 0.5185 |
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| 0.6505 | 7.0 | 2023 | 1.6085 | 0.5149 |
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| 0.5166 | 8.0 | 2312 | 1.6686 | 0.5059 |
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| 0.5659 | 9.0 | 2601 | 1.7079 | 0.5032 |
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| 0.5263 | 10.0 | 2890 | 1.7293 | 0.5086 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.3.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.1
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model.safetensors
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