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Training complete
Browse files- README.md +68 -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/distilbert-base-cased
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: transformerNERmodel
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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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# transformerNERmodel
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This model is a fine-tuned version of [distilbert/distilbert-base-cased](https://huggingface.co/distilbert/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: 0.2971
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- Precision: 0.4671
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- Recall: 0.4134
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- F1: 0.4386
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- Accuracy: 0.9091
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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: 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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 56 | 0.3648 | 0.5574 | 0.0583 | 0.1056 | 0.8803 |
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| No log | 2.0 | 112 | 0.3058 | 0.4895 | 0.3585 | 0.4139 | 0.9049 |
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| No log | 3.0 | 168 | 0.2971 | 0.4671 | 0.4134 | 0.4386 | 0.9091 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.0.0+cu117
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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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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 260797516
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version https://git-lfs.github.com/spec/v1
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oid sha256:574a3401f33ff6473200264e79e1cc4d26933812e4cfb59311bad03c3666a19d
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size 260797516
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