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End of training
Browse files- README.md +60 -1
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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---
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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: hw1
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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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# hw1
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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: 0.9151
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- Matthews Correlation: 0.5294
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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: 1.2246998000876558e-05
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- train_batch_size: 8
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- eval_batch_size: 16
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- seed: 6
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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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| 0.4949 | 1.0 | 1069 | 0.4726 | 0.4647 |
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| 0.3651 | 2.0 | 2138 | 0.5118 | 0.5239 |
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| 0.2996 | 3.0 | 3207 | 0.7391 | 0.5299 |
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| 0.2181 | 4.0 | 4276 | 0.8309 | 0.5139 |
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| 0.1807 | 5.0 | 5345 | 0.9151 | 0.5294 |
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.3.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 267832560
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version https://git-lfs.github.com/spec/v1
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size 267832560
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