End of training
Browse files- README.md +71 -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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- precision
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- recall
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- f1
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model-index:
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- name: final_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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# final_model
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6210
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- Accuracy: 0.9301
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- Precision: 0.9373
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- Recall: 0.9219
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- F1: 0.9295
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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 | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 0.0727 | 1.0 | 1563 | 0.4131 | 0.9246 | 0.9315 | 0.9167 | 0.9240 |
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| 0.0423 | 2.0 | 3126 | 0.4253 | 0.9278 | 0.9230 | 0.9335 | 0.9282 |
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| 0.0266 | 3.0 | 4689 | 0.4010 | 0.9282 | 0.9188 | 0.9394 | 0.9290 |
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| 0.0141 | 4.0 | 6252 | 0.5954 | 0.9278 | 0.9126 | 0.9462 | 0.9291 |
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| 0.0193 | 5.0 | 7815 | 0.5174 | 0.9287 | 0.9394 | 0.9166 | 0.9278 |
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| 0.0091 | 6.0 | 9378 | 0.6210 | 0.9301 | 0.9373 | 0.9219 | 0.9295 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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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 267832560
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version https://git-lfs.github.com/spec/v1
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size 267832560
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