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--- |
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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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- accuracy |
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model-index: |
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- name: amazon_topical_chat_sentiment |
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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_topical_chat_sentiment |
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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: 1.1237 |
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- Accuracy: 0.5687 |
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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-06 |
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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: 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: 14 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:------:|:---------------:|:--------:| |
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| 1.199 | 1.0 | 9419 | 1.1807 | 0.5348 | |
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| 1.1383 | 2.0 | 18838 | 1.1487 | 0.5457 | |
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| 1.1036 | 3.0 | 28257 | 1.1368 | 0.5558 | |
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| 1.0971 | 4.0 | 37676 | 1.1226 | 0.5605 | |
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| 1.0679 | 5.0 | 47095 | 1.1223 | 0.5634 | |
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| 1.0528 | 6.0 | 56514 | 1.1156 | 0.5696 | |
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| 1.0245 | 7.0 | 65933 | 1.1158 | 0.5683 | |
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| 1.0279 | 8.0 | 75352 | 1.1140 | 0.5687 | |
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| 1.0152 | 9.0 | 84771 | 1.1127 | 0.5690 | |
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| 0.9794 | 10.0 | 94190 | 1.1179 | 0.5687 | |
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| 0.9717 | 11.0 | 103609 | 1.1200 | 0.5700 | |
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| 0.9654 | 12.0 | 113028 | 1.1223 | 0.5692 | |
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| 0.9703 | 13.0 | 122447 | 1.1232 | 0.5700 | |
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| 0.9545 | 14.0 | 131866 | 1.1237 | 0.5687 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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