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End of training
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README.md
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---
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license: apache-2.0
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base_model: LiYuan/amazon-review-sentiment-analysis
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tags:
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- generated_from_trainer
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model-index:
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- name: FineTuned_NewAmazonReview
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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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# FineTuned_NewAmazonReview
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This model is a fine-tuned version of [LiYuan/amazon-review-sentiment-analysis](https://huggingface.co/LiYuan/amazon-review-sentiment-analysis) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9763
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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: 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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.5281 | 0.1 | 500 | 1.4426 |
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| 1.3849 | 0.2 | 1000 | 1.3289 |
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| 1.2785 | 0.3 | 1500 | 1.2364 |
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| 1.2415 | 0.4 | 2000 | 1.2403 |
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| 1.2113 | 0.5 | 2500 | 1.1924 |
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| 1.1661 | 0.6 | 3000 | 1.2096 |
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| 1.1283 | 0.7 | 3500 | 1.1103 |
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| 1.1176 | 0.8 | 4000 | 1.0909 |
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| 1.1048 | 0.9 | 4500 | 1.0933 |
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| 1.0746 | 1.0 | 5000 | 1.0432 |
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| 0.9869 | 1.1 | 5500 | 1.1254 |
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| 0.9895 | 1.2 | 6000 | 1.0309 |
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| 0.987 | 1.3 | 6500 | 1.0326 |
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| 0.9618 | 1.4 | 7000 | 1.0184 |
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| 0.9626 | 1.5 | 7500 | 1.0095 |
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| 0.964 | 1.6 | 8000 | 1.0016 |
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| 0.9484 | 1.7 | 8500 | 0.9964 |
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| 0.9395 | 1.8 | 9000 | 0.9933 |
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| 0.9247 | 1.9 | 9500 | 0.9849 |
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| 0.9402 | 2.0 | 10000 | 0.9763 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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