Model save
Browse files- README.md +81 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: distilroberta-base
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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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- f1
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model-index:
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- name: text-comp
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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: mrpc
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split: validation
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args: mrpc
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8357843137254902
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- name: F1
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type: f1
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value: 0.8770642201834863
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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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# text-comp
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5361
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- Accuracy: 0.8358
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- F1: 0.8771
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 3
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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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| 0.5903 | 1.09 | 500 | 0.4340 | 0.8137 | 0.8643 |
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| 0.3827 | 2.18 | 1000 | 0.5361 | 0.8358 | 0.8771 |
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### Framework versions
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- Transformers 4.33.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 328515505
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version https://git-lfs.github.com/spec/v1
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oid sha256:19b1805560b1c59fc714d7464bdeff7372163e129775dcc2c1cc320854f91e54
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size 328515505
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