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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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- f1
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model-index:
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- name: finetuned_sentence_itr0_0.0002_all_27_02_2022-17_55_43
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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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# finetuned_sentence_itr0_0.0002_all_27_02_2022-17_55_43
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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: 0.7600
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- Accuracy: 0.8144
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- F1: 0.8788
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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: 0.0002
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- train_batch_size: 64
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- eval_batch_size: 64
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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 | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 195 | 0.3514 | 0.8427 | 0.8979 |
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| No log | 2.0 | 390 | 0.3853 | 0.8293 | 0.8936 |
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| 0.3147 | 3.0 | 585 | 0.5494 | 0.8268 | 0.8868 |
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| 0.3147 | 4.0 | 780 | 0.6235 | 0.8427 | 0.8995 |
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| 0.3147 | 5.0 | 975 | 0.8302 | 0.8378 | 0.8965 |
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### Framework versions
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- Transformers 4.15.0
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- Pytorch 1.10.1+cu113
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- Datasets 1.18.0
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- Tokenizers 0.10.3
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