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---
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base_model: Tanor/BERTicSENTNEG2
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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: BERTicSENTNEG2
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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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# BERTicSENTNEG2
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This model is a fine-tuned version of [Tanor/BERTicSENTNEG2](https://huggingface.co/Tanor/BERTicSENTNEG2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0572
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- F1: 0.625
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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 | 0.9895 | 47 | 0.0467 | 0.5263 |
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| No log | 2.0 | 95 | 0.0482 | 0.6038 |
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| No log | 2.9895 | 142 | 0.0442 | 0.7143 |
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| No log | 4.0 | 190 | 0.0567 | 0.6275 |
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| No log | 4.9895 | 237 | 0.0573 | 0.6 |
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| No log | 6.0 | 285 | 0.0572 | 0.625 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.2
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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