Commit
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96350ab
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Parent(s):
ed0a6d1
End of training
Browse files- README.md +80 -0
- 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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- emotion
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metrics:
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- accuracy
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model-index:
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- name: MiniLMv2-L6-H384-emotion
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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: emotion
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type: emotion
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9215
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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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# MiniLMv2-L6-H384-emotion
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This model is a fine-tuned version of [nreimers/MiniLMv2-L6-H384-distilled-from-RoBERTa-Large](https://huggingface.co/nreimers/MiniLMv2-L6-H384-distilled-from-RoBERTa-Large) on the emotion dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2140
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- Accuracy: 0.9215
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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: 3e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 8
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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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| 1.432 | 1.0 | 500 | 0.9992 | 0.6805 |
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| 0.8073 | 2.0 | 1000 | 0.5437 | 0.846 |
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| 0.4483 | 3.0 | 1500 | 0.3018 | 0.909 |
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| 0.2833 | 4.0 | 2000 | 0.2412 | 0.915 |
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| 0.2169 | 5.0 | 2500 | 0.2140 | 0.9215 |
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| 0.1821 | 6.0 | 3000 | 0.2159 | 0.917 |
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| 0.154 | 7.0 | 3500 | 0.2084 | 0.919 |
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| 0.1461 | 8.0 | 4000 | 0.2047 | 0.92 |
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### Framework versions
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- Transformers 4.12.3
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- Pytorch 1.9.1
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- Datasets 1.15.1
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- Tokenizers 0.10.3
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pytorch_model.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 121235053
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version https://git-lfs.github.com/spec/v1
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oid sha256:40d9f4dfb7761392cfecdc597d3854e32ab34648a5cc5d20bbd5e80448954236
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size 121235053
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