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Browse files- README.md +69 -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: 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: trained_model_distilbert_0305
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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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# trained_model_distilbert_0305
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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: 0.5584
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- Accuracy: 0.8158
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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: 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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| No log | 1.0 | 57 | 0.8234 | 0.6930 |
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| No log | 2.0 | 114 | 0.7279 | 0.6930 |
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| No log | 3.0 | 171 | 0.5902 | 0.7675 |
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| No log | 4.0 | 228 | 0.5336 | 0.7632 |
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| No log | 5.0 | 285 | 0.5117 | 0.7851 |
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| No log | 6.0 | 342 | 0.5355 | 0.7807 |
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| No log | 7.0 | 399 | 0.5005 | 0.8333 |
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| No log | 8.0 | 456 | 0.5282 | 0.8289 |
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| 0.4628 | 9.0 | 513 | 0.5481 | 0.8333 |
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| 0.4628 | 10.0 | 570 | 0.5584 | 0.8158 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 267835644
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version https://git-lfs.github.com/spec/v1
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size 267835644
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