Commit
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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-L12-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: 0.925
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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-L12-H384-emotion
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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 emotion dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2069
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- Accuracy: 0.925
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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: 16
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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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| 0.8745 | 1.0 | 1000 | 0.6673 | 0.81 |
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| 0.3466 | 2.0 | 2000 | 0.2816 | 0.918 |
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| 0.2201 | 3.0 | 3000 | 0.2367 | 0.9215 |
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| 0.1761 | 4.0 | 4000 | 0.2069 | 0.925 |
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| 0.1435 | 5.0 | 5000 | 0.2089 | 0.922 |
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| 0.1454 | 6.0 | 6000 | 0.2168 | 0.923 |
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| 0.1041 | 7.0 | 7000 | 0.2081 | 0.924 |
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| 0.0953 | 8.0 | 8000 | 0.2133 | 0.9245 |
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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 163861421
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version https://git-lfs.github.com/spec/v1
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oid sha256:9531b684f71f257744cad40647cb93318c48b981560c94f092be732947b77d5a
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size 163861421
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