End of training
Browse files- README.md +79 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: distilbert-base-cased
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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: Sentiment-Analysis-Model
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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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# Sentiment-Analysis-Model
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6064
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- Accuracy: 0.7515
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 10
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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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| 0.75 | 0.5 | 500 | 0.7256 | 0.7015 |
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| 0.7029 | 1.0 | 1000 | 0.6558 | 0.7375 |
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| 0.603 | 1.5 | 1500 | 0.6782 | 0.7435 |
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| 0.5837 | 2.0 | 2000 | 0.6064 | 0.7515 |
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| 0.4341 | 2.5 | 2500 | 0.7703 | 0.756 |
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| 0.4229 | 3.0 | 3000 | 0.6850 | 0.7525 |
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| 0.2562 | 3.5 | 3500 | 1.0519 | 0.7465 |
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| 0.2975 | 4.0 | 4000 | 1.1673 | 0.729 |
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| 0.174 | 4.5 | 4500 | 1.3483 | 0.7235 |
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| 0.1931 | 5.0 | 5000 | 1.4196 | 0.7405 |
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| 0.1005 | 5.5 | 5500 | 1.6459 | 0.7415 |
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| 0.1145 | 6.0 | 6000 | 1.4333 | 0.746 |
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| 0.0764 | 6.5 | 6500 | 1.5973 | 0.741 |
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| 0.0741 | 7.0 | 7000 | 1.8235 | 0.7295 |
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| 0.0349 | 7.5 | 7500 | 2.0046 | 0.7415 |
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| 0.0509 | 8.0 | 8000 | 1.8520 | 0.74 |
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| 0.0273 | 8.5 | 8500 | 1.9855 | 0.7465 |
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| 0.0295 | 9.0 | 9000 | 2.0323 | 0.733 |
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| 0.0221 | 9.5 | 9500 | 2.0907 | 0.7415 |
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| 0.0192 | 10.0 | 10000 | 2.0653 | 0.7455 |
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### Framework versions
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- Transformers 4.33.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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pytorch_model.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 263170733
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version https://git-lfs.github.com/spec/v1
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oid sha256:8e06fbbb4fc589f8bc2fce4528ee0fdb6b207c3435167af1ddfd294a026fbf39
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size 263170733
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