Model save
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- model.safetensors +1 -1
- runs/Mar13_14-38-06_c067a579a916/events.out.tfevents.1710341771.c067a579a916.1290.3 +2 -2
- runs/Mar13_15-15-54_c067a579a916/events.out.tfevents.1710344573.c067a579a916.1290.5 +2 -2
- runs/Mar13_15-15-54_c067a579a916/events.out.tfevents.1710344948.c067a579a916.1290.7 +3 -0
README.md
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---
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license: apache-2.0
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base_model: distilbert-base-uncased
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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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model-index:
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- name: DistilBERT_trainer_irony
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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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# DistilBERT_trainer_irony
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7540
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- Accuracy: 0.6964
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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: 16
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- eval_batch_size: 8
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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: 5
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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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| No log | 1.0 | 179 | 1.2815 | 0.6827 |
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| No log | 2.0 | 358 | 1.4685 | 0.7047 |
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| 0.092 | 3.0 | 537 | 1.6756 | 0.6754 |
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| 0.092 | 4.0 | 716 | 1.8278 | 0.6712 |
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| 0.092 | 5.0 | 895 | 1.8939 | 0.6723 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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