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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: my_awesome_model_2
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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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# my_awesome_model_2
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This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0950
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- Accuracy: 0.9655
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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: 2
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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 | 0.09 | 200 | 0.4448 | 0.8383 |
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| No log | 0.19 | 400 | 0.2267 | 0.9250 |
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| 0.2842 | 0.28 | 600 | 0.1300 | 0.9532 |
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| 0.2842 | 0.38 | 800 | 0.1689 | 0.9437 |
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| 0.1348 | 0.47 | 1000 | 0.1445 | 0.9530 |
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| 0.1348 | 0.57 | 1200 | 0.1237 | 0.9554 |
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| 0.1348 | 0.66 | 1400 | 0.1103 | 0.9624 |
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| 0.1198 | 0.75 | 1600 | 0.0950 | 0.9655 |
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| 0.1198 | 0.85 | 1800 | 0.1115 | 0.9642 |
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| 0.1053 | 0.94 | 2000 | 0.1192 | 0.9603 |
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| 0.1053 | 1.04 | 2200 | 0.1102 | 0.9622 |
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| 0.1053 | 1.13 | 2400 | 0.1096 | 0.9650 |
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| 0.0716 | 1.22 | 2600 | 0.1212 | 0.9650 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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