End of training
Browse files- README.md +64 -0
- pytorch_model.bin +1 -1
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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- f1
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model-index:
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- name: semeval23-t3-st1-en-babe-distilbert-base-uncased-finetuned-sst-2-english
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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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# semeval23-t3-st1-en-babe-distilbert-base-uncased-finetuned-sst-2-english
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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: 3.5298
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- F1: 0.4120
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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: 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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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 1.0 | 22 | 3.4120 | 0.3965 |
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| No log | 2.0 | 44 | 3.4436 | 0.3834 |
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| No log | 3.0 | 66 | 3.5298 | 0.4120 |
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| No log | 4.0 | 88 | 3.5558 | 0.4018 |
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| No log | 5.0 | 110 | 3.6086 | 0.4002 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.1
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 267861677
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version https://git-lfs.github.com/spec/v1
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size 267861677
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