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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: BERTicSENTNEG4 |
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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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# BERTicSENTNEG4 |
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This model is a fine-tuned version of [Tanor/BERTicSENTNEG4](https://huggingface.co/Tanor/BERTicSENTNEG4) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0501 |
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- F1: 0.6 |
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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: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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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: 32 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 53 | 0.0846 | 0.0 | |
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| No log | 2.0 | 106 | 0.0477 | 0.1538 | |
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| No log | 3.0 | 159 | 0.0438 | 0.6087 | |
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| No log | 4.0 | 212 | 0.0421 | 0.5778 | |
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| No log | 5.0 | 265 | 0.0442 | 0.5778 | |
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| No log | 6.0 | 318 | 0.0477 | 0.5909 | |
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| No log | 7.0 | 371 | 0.0501 | 0.6 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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