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: cm124057-01
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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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# cm124057-01
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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: 0.8311
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- Matthews Correlation: 0.5373
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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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| 0.5197 | 1.0 | 535 | 0.4535 | 0.4636 |
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| 0.3446 | 2.0 | 1070 | 0.4631 | 0.5118 |
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| 0.2344 | 3.0 | 1605 | 0.6146 | 0.5314 |
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| 0.1653 | 4.0 | 2140 | 0.7437 | 0.5000 |
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| 0.1263 | 5.0 | 2675 | 0.8311 | 0.5373 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.0
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- Tokenizers 0.15.0
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runs/Dec23_02-13-07_28fb08f9b895/events.out.tfevents.1703297901.28fb08f9b895.691.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:0a19c6bdef7c6127aac44db646579e69b239449ba8bbfea69f61383f522751f7
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size 423
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