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Training complete!
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README.md
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---
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license: apache-2.0
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base_model: distilroberta-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: distilroberta-helpdesk-intent
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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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# distilroberta-helpdesk-intent
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0011
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- Accuracy: 0.9996
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- F1: 0.9996
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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: 8
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- eval_batch_size: 4
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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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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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| No log | 0.66 | 2000 | 0.0191 | 0.9967 | 0.9967 |
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| No log | 1.32 | 4000 | 0.0102 | 0.9981 | 0.9981 |
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| No log | 1.98 | 6000 | 0.0072 | 0.9981 | 0.9981 |
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| 0.0416 | 2.65 | 8000 | 0.0042 | 0.9993 | 0.9993 |
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| 0.0416 | 3.31 | 10000 | 0.0029 | 0.9993 | 0.9993 |
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| 0.0416 | 3.97 | 12000 | 0.0011 | 0.9996 | 0.9996 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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runs/Dec12_14-37-12_70c1b6a8bd40/events.out.tfevents.1702391833.70c1b6a8bd40.467.1
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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 sha256:3ce6760f32213616ef5b349c1e2882a0b06673c92a181150e06db27338006b21
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size 8780
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