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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: amazon_sentiment_clfn |
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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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# amazon_sentiment_clfn |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2018 |
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- Precision: 0.7804 |
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- Recall: 0.6077 |
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- F1: 0.6833 |
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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 OptimizerNames.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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:| |
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| 0.2019 | 1.0 | 9229 | 0.2018 | 0.7804 | 0.6077 | 0.6833 | |
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| 0.1714 | 2.0 | 18458 | 0.2170 | 0.7279 | 0.7191 | 0.7234 | |
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| 0.1337 | 3.0 | 27687 | 0.2890 | 0.7035 | 0.7220 | 0.7126 | |
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| 0.0895 | 4.0 | 36916 | 0.3820 | 0.7291 | 0.6881 | 0.7080 | |
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| 0.0693 | 5.0 | 46145 | 0.4428 | 0.7309 | 0.6824 | 0.7058 | |
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### Framework versions |
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- Transformers 4.55.1 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
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