Model save
Browse files- README.md +70 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: bert-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: text_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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# text_classification
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3020
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- Accuracy: 0.926
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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: 4
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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: cosine
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- lr_scheduler_warmup_ratio: 0.01
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- num_epochs: 1
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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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| 0.5849 | 0.1 | 625 | 0.4289 | 0.8756 |
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| 1.7008 | 0.2 | 1250 | 0.3622 | 0.8884 |
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| 1.3654 | 0.3 | 1875 | 0.4385 | 0.8968 |
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| 1.3265 | 0.4 | 2500 | 0.3949 | 0.898 |
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| 0.0032 | 0.5 | 3125 | 0.4126 | 0.9084 |
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| 2.4059 | 0.6 | 3750 | 0.3381 | 0.9112 |
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| 0.9658 | 0.7 | 4375 | 0.3089 | 0.916 |
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| 0.0045 | 0.8 | 5000 | 0.3200 | 0.9216 |
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| 0.0062 | 0.9 | 5625 | 0.3020 | 0.926 |
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| 0.0699 | 1.0 | 6250 | 0.3042 | 0.9252 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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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 437958648
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version https://git-lfs.github.com/spec/v1
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size 437958648
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