Model save
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- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
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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: bert-classification
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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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# bert-classification
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This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5482
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- F1: 0.9411
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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: 16
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- eval_batch_size: 16
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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: 10
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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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| 0.2509 | 1.0 | 1632 | 0.2514 | 0.9131 |
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| 0.193 | 2.0 | 3264 | 0.2580 | 0.9317 |
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| 0.1262 | 3.0 | 4896 | 0.3140 | 0.9262 |
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| 0.0725 | 4.0 | 6528 | 0.3717 | 0.9377 |
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| 0.0442 | 5.0 | 8160 | 0.3557 | 0.9383 |
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| 0.0354 | 6.0 | 9792 | 0.5100 | 0.9330 |
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| 0.0167 | 7.0 | 11424 | 0.4862 | 0.9397 |
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| 0.0137 | 8.0 | 13056 | 0.5168 | 0.9400 |
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| 0.0096 | 9.0 | 14688 | 0.5280 | 0.9430 |
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| 0.0056 | 10.0 | 16320 | 0.5482 | 0.9411 |
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### Framework versions
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- Transformers 4.46.2
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- Pytorch 2.4.0+cu121
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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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version https://git-lfs.github.com/spec/v1
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size 498612824
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version https://git-lfs.github.com/spec/v1
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size 498612824
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