End of training
Browse files- README.md +32 -0
- all_results.json +8 -0
- train_results.json +8 -0
README.md
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base_model: microsoft/deberta-v3-base
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tags:
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- generated_from_trainer
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model-index:
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- name: twitter_sentiment_small_4
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results: []
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# twitter_sentiment_small_4
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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## Model description
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- lr_scheduler_warmup_steps: 50
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- num_epochs: 3
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### Framework versions
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- Transformers 4.44.2
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base_model: microsoft/deberta-v3-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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- precision
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- recall
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model-index:
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- name: twitter_sentiment_small_4
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results: []
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# twitter_sentiment_small_4
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4844
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- Accuracy: 0.824
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- F1-score: 0.8057
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- Precision: 0.8295
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- Recall: 0.7833
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## Model description
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- lr_scheduler_warmup_steps: 50
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|
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| 0.643 | 0.0889 | 100 | 0.5191 | 0.774 | 0.7466 | 0.7817 | 0.7146 |
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| 0.4779 | 0.1778 | 200 | 0.4895 | 0.787 | 0.7677 | 0.7805 | 0.7554 |
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| 0.4069 | 0.2667 | 300 | 0.4630 | 0.795 | 0.7745 | 0.7946 | 0.7554 |
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| 0.4215 | 0.3556 | 400 | 0.4562 | 0.8 | 0.7669 | 0.8393 | 0.7060 |
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| 0.4187 | 0.4444 | 500 | 0.4350 | 0.807 | 0.7992 | 0.7758 | 0.8240 |
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| 0.4197 | 0.5333 | 600 | 0.4497 | 0.806 | 0.7785 | 0.8317 | 0.7318 |
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| 0.4034 | 0.6222 | 700 | 0.4335 | 0.817 | 0.8111 | 0.7813 | 0.8433 |
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| 0.4058 | 0.7111 | 800 | 0.4231 | 0.804 | 0.7996 | 0.7637 | 0.8391 |
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| 0.4044 | 0.8 | 900 | 0.4404 | 0.805 | 0.8056 | 0.7523 | 0.8670 |
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| 0.3678 | 0.8889 | 1000 | 0.4000 | 0.815 | 0.8095 | 0.7782 | 0.8433 |
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| 0.3791 | 0.9778 | 1100 | 0.4451 | 0.814 | 0.814 | 0.7622 | 0.8734 |
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| 0.3109 | 1.0667 | 1200 | 0.5034 | 0.817 | 0.8039 | 0.8030 | 0.8047 |
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| 0.2999 | 1.1556 | 1300 | 0.4740 | 0.812 | 0.8105 | 0.7643 | 0.8627 |
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| 0.2902 | 1.2444 | 1400 | 0.4517 | 0.825 | 0.8066 | 0.8314 | 0.7833 |
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| 0.2664 | 1.3333 | 1500 | 0.4646 | 0.83 | 0.8225 | 0.8008 | 0.8455 |
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| 0.2826 | 1.4222 | 1600 | 0.4844 | 0.824 | 0.8057 | 0.8295 | 0.7833 |
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### Framework versions
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- Transformers 4.44.2
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all_results.json
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{
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"epoch": 1.4222222222222223,
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"total_flos": 460888389916608.0,
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"train_loss": 0.3873763084411621,
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"train_runtime": 21680.5848,
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"train_samples_per_second": 2.491,
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"train_steps_per_second": 0.156
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}
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train_results.json
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{
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"epoch": 1.4222222222222223,
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"total_flos": 460888389916608.0,
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"train_loss": 0.3873763084411621,
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"train_runtime": 21680.5848,
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"train_samples_per_second": 2.491,
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"train_steps_per_second": 0.156
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}
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