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End of training
Browse files- README.md +81 -0
- logs/events.out.tfevents.1649850967.algo-1.53.0 +2 -2
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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- clinc_oos
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metrics:
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- accuracy
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model-index:
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- name: MiniLMv2-L12-H384-distilled-finetuned-clinc
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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: clinc_oos
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type: clinc_oos
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args: plus
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9529032258064516
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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-distilled-finetuned-clinc
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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 clinc_oos dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3058
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- Accuracy: 0.9529
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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: 0.0001
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- train_batch_size: 64
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- eval_batch_size: 64
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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: 10
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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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| 1.9908 | 1.0 | 239 | 1.6816 | 0.3910 |
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| 1.5212 | 2.0 | 478 | 1.2365 | 0.7697 |
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| 1.129 | 3.0 | 717 | 0.9209 | 0.8706 |
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| 0.8462 | 4.0 | 956 | 0.6978 | 0.9152 |
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| 0.6497 | 5.0 | 1195 | 0.5499 | 0.9342 |
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| 0.5124 | 6.0 | 1434 | 0.4447 | 0.9445 |
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| 0.4196 | 7.0 | 1673 | 0.3797 | 0.9455 |
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| 0.3587 | 8.0 | 1912 | 0.3358 | 0.95 |
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| 0.3228 | 9.0 | 2151 | 0.3133 | 0.9513 |
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| 0.3052 | 10.0 | 2390 | 0.3058 | 0.9529 |
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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.1649850967.algo-1.53.0
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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
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version https://git-lfs.github.com/spec/v1
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oid sha256:040d9f83d7bd41b671d3a5bec41a365c6270f267721f47e6d666fc519cb8bc77
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size 16393
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