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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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datasets: |
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- snips_built_in_intents |
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metrics: |
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- accuracy |
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model-index: |
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- name: roberta-base-finetuned-intent-ipu |
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results: [] |
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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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# roberta-base-finetuned-intent-ipu |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the snips_built_in_intents dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1503 |
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- Accuracy: 1.0 |
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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: 2e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: IPU |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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- total_eval_batch_size: 5 |
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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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- training precision: Mixed Precision |
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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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| 1.2478 | 1.0 | 75 | 0.6069 | 0.96 | |
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| 0.2522 | 2.0 | 150 | 0.1503 | 1.0 | |
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| 0.0903 | 3.0 | 225 | 0.0712 | 1.0 | |
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| 0.0883 | 4.0 | 300 | 0.0350 | 1.0 | |
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| 0.0491 | 5.0 | 375 | 0.0267 | 1.0 | |
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| 0.0305 | 6.0 | 450 | 0.0218 | 1.0 | |
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| 0.0461 | 7.0 | 525 | 0.0191 | 1.0 | |
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| 0.039 | 8.0 | 600 | 0.0174 | 1.0 | |
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| 0.0337 | 9.0 | 675 | 0.0166 | 1.0 | |
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| 0.0164 | 10.0 | 750 | 0.0162 | 1.0 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.10.0+cpu |
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- Datasets 2.7.1 |
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- Tokenizers 0.12.0 |
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