Model save
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README.md
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---
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base_model: vinai/bertweet-base
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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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- recall
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model-index:
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- name: bertweet-base
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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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# bertweet-base
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This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4555
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- F1 Macro: 0.8329
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- F1: 0.8864
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- F1 Neg: 0.7794
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- Acc: 0.85
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- Prec: 0.9035
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- Recall: 0.8699
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- Mcc: 0.6670
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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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: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
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| No log | 1.0 | 497 | 0.4926 | 0.7671 | 0.8270 | 0.7071 | 0.7825 | 0.8421 | 0.8125 | 0.5350 |
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| 0.6271 | 2.0 | 994 | 0.4256 | 0.7808 | 0.8608 | 0.7008 | 0.81 | 0.8103 | 0.9180 | 0.5762 |
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| 0.4307 | 3.0 | 1491 | 0.4918 | 0.8193 | 0.8726 | 0.7660 | 0.835 | 0.8626 | 0.8828 | 0.6390 |
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### Framework versions
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- Transformers 4.38.2
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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/Apr05_16-18-41_tardis/events.out.tfevents.1712326881.tardis.3494138.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:a38a6c333b9fb6fc07ebb286591fdab07b600a5e112ee7d21b6e5446ed0765dd
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size 699
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