End of training
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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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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: homework_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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# homework_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: 0.8327
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- Matthews Correlation: 0.5298
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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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| 0.5156 | 1.0 | 535 | 0.4525 | 0.4464 |
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| 0.342 | 2.0 | 1070 | 0.4731 | 0.5198 |
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| 0.2309 | 3.0 | 1605 | 0.6647 | 0.5153 |
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| 0.1705 | 4.0 | 2140 | 0.7939 | 0.5166 |
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| 0.1268 | 5.0 | 2675 | 0.8327 | 0.5298 |
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### Framework versions
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- Transformers 4.39.1
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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/Mar23_02-09-13_2ed998b56e2c/events.out.tfevents.1711160272.2ed998b56e2c.195.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:76e773688bee4ecd6221eb7fae3932822f0c04ae3b63c3dba101ee6d5b41a89c
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size 423
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