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README.md
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---
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license: apache-2.0
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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: commitC
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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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# commitC
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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: 1.3178
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- Accuracy: 0.6939
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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: 20
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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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| No log | 1.0 | 32 | 0.9701 | 0.5545 |
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| No log | 2.0 | 64 | 0.8482 | 0.5970 |
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| No log | 3.0 | 96 | 0.7623 | 0.6606 |
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| No log | 4.0 | 128 | 0.7500 | 0.6818 |
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| No log | 5.0 | 160 | 0.7741 | 0.7 |
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| No log | 6.0 | 192 | 0.8143 | 0.7030 |
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| No log | 7.0 | 224 | 0.9409 | 0.6909 |
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| No log | 8.0 | 256 | 1.0390 | 0.6939 |
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| No log | 9.0 | 288 | 1.1710 | 0.6909 |
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| No log | 10.0 | 320 | 1.1657 | 0.6970 |
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| No log | 11.0 | 352 | 1.1804 | 0.6939 |
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| No log | 12.0 | 384 | 1.2182 | 0.6970 |
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| No log | 13.0 | 416 | 1.1840 | 0.7091 |
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| No log | 14.0 | 448 | 1.3097 | 0.7030 |
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| No log | 15.0 | 480 | 1.2168 | 0.7242 |
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| 0.2806 | 16.0 | 512 | 1.2970 | 0.7 |
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| 0.2806 | 17.0 | 544 | 1.3139 | 0.7 |
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| 0.2806 | 18.0 | 576 | 1.3116 | 0.6939 |
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| 0.2806 | 19.0 | 608 | 1.3045 | 0.6970 |
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| 0.2806 | 20.0 | 640 | 1.3178 | 0.6939 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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