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license: mit |
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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: rubert-tiny2_finetuned_emotion_experiment_modified_CE_LOSS_resampling |
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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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# rubert-tiny2_finetuned_emotion_experiment_modified_CE_LOSS_resampling |
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This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4520 |
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- Accuracy: 0.8621 |
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- F1: 0.8616 |
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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: 64 |
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- eval_batch_size: 64 |
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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: 40 |
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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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| 1.1134 | 1.0 | 53 | 0.9494 | 0.7716 | 0.7555 | |
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| 0.8421 | 2.0 | 106 | 0.7092 | 0.8204 | 0.8172 | |
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| 0.6488 | 3.0 | 159 | 0.6000 | 0.8319 | 0.8313 | |
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| 0.5392 | 4.0 | 212 | 0.5368 | 0.8376 | 0.8392 | |
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| 0.4616 | 5.0 | 265 | 0.4951 | 0.8549 | 0.8544 | |
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| 0.4138 | 6.0 | 318 | 0.4743 | 0.8621 | 0.8615 | |
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| 0.3694 | 7.0 | 371 | 0.4607 | 0.8563 | 0.8581 | |
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| 0.3375 | 8.0 | 424 | 0.4469 | 0.8693 | 0.8697 | |
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| 0.3049 | 9.0 | 477 | 0.4412 | 0.8649 | 0.8670 | |
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| 0.2804 | 10.0 | 530 | 0.4469 | 0.8635 | 0.8637 | |
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| 0.2787 | 11.0 | 583 | 0.4471 | 0.8693 | 0.8683 | |
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| 0.2284 | 12.0 | 636 | 0.4474 | 0.8693 | 0.8694 | |
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| 0.2188 | 13.0 | 689 | 0.4530 | 0.8649 | 0.8643 | |
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| 0.1998 | 14.0 | 742 | 0.4520 | 0.8621 | 0.8616 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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