Training completed!
Browse files
README.md
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---
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library_name: transformers
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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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- precision
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model-index:
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- name: bge-m3_emotion_ft_0416
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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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# bge-m3_emotion_ft_0416
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1023
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- Accuracy: 0.944
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- F1: 0.9442
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- Precision: 0.9176
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|
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| 0.4266 | 1.0 | 250 | 0.2097 | 0.929 | 0.9294 | 0.8987 |
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| 0.1352 | 2.0 | 500 | 0.1182 | 0.941 | 0.9406 | 0.9212 |
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| 0.0965 | 3.0 | 750 | 0.1046 | 0.949 | 0.9493 | 0.9185 |
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| 0.0753 | 4.0 | 1000 | 0.1023 | 0.944 | 0.9442 | 0.9176 |
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.5.1+cu118
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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model.safetensors
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runs/Jan04_18-17-19_DESKTOP-NS00O3G/events.out.tfevents.1735985852.DESKTOP-NS00O3G.56616.0
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