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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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base_model: distilbert-base-uncased-finetuned-sst-2-english
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tags:
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- generated_from_trainer
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datasets:
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- glue
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metrics:
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- accuracy
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model-index:
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- name: distilbert-base-uncased-finetuned-sst2
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: glue
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type: glue
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config: sst2
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split: validation
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args: sst2
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9036697247706422
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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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# distilbert-base-uncased-finetuned-sst2
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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 glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6600
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- Accuracy: 0.9037
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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 | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.0367 | 1.0 | 4210 | 0.5104 | 0.8968 |
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| 0.0287 | 2.0 | 8420 | 0.6466 | 0.9002 |
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| 0.0372 | 3.0 | 12630 | 0.5988 | 0.9014 |
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| 0.028 | 4.0 | 16840 | 0.6600 | 0.9037 |
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| 0.0111 | 5.0 | 21050 | 0.8030 | 0.9014 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
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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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runs/Dec06_08-42-17_486c67ed138d/events.out.tfevents.1701858263.486c67ed138d.2142.6
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version https://git-lfs.github.com/spec/v1
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size 417
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