End of training
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README.md
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license: apache-2.0
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---
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---
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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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- matthews_correlation
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model-index:
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- name: mymodel_2024
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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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# mymodel_2024
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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: 0.8616
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- Matthews Correlation: 0.5645
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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| 0.4237 | 1.0 | 535 | 0.4516 | 0.4666 |
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| 0.2932 | 2.0 | 1070 | 0.4786 | 0.5521 |
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| 0.1994 | 3.0 | 1605 | 0.7163 | 0.5285 |
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| 0.1517 | 4.0 | 2140 | 0.8341 | 0.5432 |
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| 0.1056 | 5.0 | 2675 | 0.8616 | 0.5645 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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runs/Apr05_13-35-05_48c5213de69d/events.out.tfevents.1712324638.48c5213de69d.790.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:c1fcc8f13bdc1c70b8e5e5e87dbd4131c95dd16f42b08b9e67de6e79af9a1be8
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size 423
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