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erlend123
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emotion-analysis

Text Classification
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English
distilbert
Generated from Trainer
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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/Apr15_14-06-48_DESKTOP-TE1H4IM/events.out.tfevents.1713185252.DESKTOP-TE1H4IM.22564.1 +3 -0
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.0894
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- - Accuracy: 0.9417
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- - F1: 0.9392
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  ## Model description
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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: 16
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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: 10
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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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- | 0.0912 | 1.0 | 20841 | 0.0922 | 0.9423 | 0.9436 |
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- | 0.097 | 2.0 | 41682 | 0.0894 | 0.9417 | 0.9392 |
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- | 0.0808 | 3.0 | 62523 | 0.0937 | 0.9419 | 0.9393 |
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- | 0.0852 | 4.0 | 83364 | 0.0989 | 0.9424 | 0.9397 |
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  ### Framework versions
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  - Transformers 4.39.3
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- - Pytorch 1.13.0+cu117
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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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: 1.7875
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+ - Accuracy: 0.4685
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+ - F1: 0.4357
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  ## Model description
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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: 32
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+ - eval_batch_size: 32
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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 | F1 |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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+ | 1.85 | 1.0 | 4296 | 1.8051 | 0.4689 | 0.4157 |
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+ | 1.7268 | 2.0 | 8592 | 1.7875 | 0.4685 | 0.4357 |
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+ | 1.6381 | 3.0 | 12888 | 1.7995 | 0.4602 | 0.4358 |
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+ | 1.5568 | 4.0 | 17184 | 1.8209 | 0.4573 | 0.4337 |
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  ### Framework versions
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  - Transformers 4.39.3
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+ - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
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runs/Apr15_14-06-48_DESKTOP-TE1H4IM/events.out.tfevents.1713185252.DESKTOP-TE1H4IM.22564.1 ADDED
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