Commit
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82ceba1
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Parent(s):
0e822ae
End of training
Browse files- README.md +76 -0
- logs/events.out.tfevents.1649665873.algo-1.53.0 +2 -2
- pytorch_model.bin +1 -1
README.md
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---
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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: minilm-l12-h384-sst2-distilled
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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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args: sst2
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9220183486238532
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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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# minilm-l12-h384-sst2-distilled
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This model is a fine-tuned version of [nreimers/MiniLMv2-L12-H384-distilled-from-RoBERTa-Large](https://huggingface.co/nreimers/MiniLMv2-L12-H384-distilled-from-RoBERTa-Large) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5417
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- Accuracy: 0.9220
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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: 0.0001400785945474408
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- train_batch_size: 512
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- eval_batch_size: 512
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- seed: 33
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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 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.2689 | 1.0 | 132 | 0.7102 | 0.8979 |
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| 0.8295 | 2.0 | 264 | 0.5669 | 0.9117 |
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| 0.5059 | 3.0 | 396 | 0.5545 | 0.9220 |
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| 0.3722 | 4.0 | 528 | 0.5378 | 0.9209 |
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| 0.2924 | 5.0 | 660 | 0.5417 | 0.9220 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.10.2+cu113
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- Datasets 1.18.4
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- Tokenizers 0.11.6
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logs/events.out.tfevents.1649665873.algo-1.53.0
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pytorch_model.bin
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