End of training
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README.md
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---
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library_name: transformers
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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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- wer
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model-index:
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- name: distilbert-base-uncased_new_ner_format_fn_5_epochs
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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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# distilbert-base-uncased_new_ner_format_fn_5_epochs
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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: 0.1611
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- Wer: 0.0319
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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: 4
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- eval_batch_size: 4
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- seed: 1010
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.0127 | 1.0 | 76 | 0.1793 | 0.0334 |
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| 0.0129 | 2.0 | 152 | 0.1163 | 0.0281 |
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| 0.0104 | 3.0 | 228 | 0.1637 | 0.0319 |
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| 0.0055 | 4.0 | 304 | 0.1462 | 0.0326 |
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| 0.0027 | 5.0 | 380 | 0.1611 | 0.0319 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.0
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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runs/Sep15_13-48-37_f89137051b33/events.out.tfevents.1726408120.f89137051b33.36.2
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 8058
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