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Fine-tuning Complete
Browse files- README.md +2 -37
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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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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- f1
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model-index:
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- name: distilbert-base-uncased-finetuned-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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config: split
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split: validation
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args: split
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9315
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- name: F1
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type: f1
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value: 0.9316737558826899
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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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# distilbert-base-uncased-finetuned-emotion
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1700
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- Accuracy: 0.9315
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- F1: 0.9317
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## Model description
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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:
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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 | 1.0 | 63 | 0.8502 | 0.7315 | 0.6733 |
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| No log | 2.0 | 126 | 0.3358 | 0.9005 | 0.8959 |
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| No log | 3.0 | 189 | 0.2175 | 0.9235 | 0.9228 |
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| No log | 4.0 | 252 | 0.1890 | 0.936 | 0.9356 |
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| 0.5809 | 5.0 | 315 | 0.1776 | 0.9275 | 0.9279 |
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| 0.5809 | 6.0 | 378 | 0.1700 | 0.9315 | 0.9317 |
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### Framework versions
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- generated_from_trainer
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datasets:
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- emotion
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model-index:
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- name: distilbert-base-uncased-finetuned-emotion
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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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# distilbert-base-uncased-finetuned-emotion
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
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## Model description
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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: 3
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### Framework versions
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pytorch_model.bin
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training_args.bin
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