End of training
Browse files- README.md +13 -12
- added_tokens.json +5 -0
- config.json +2 -2
- model.safetensors +2 -2
- runs/Feb20_12-18-47_b7bcaa3b0fd6/events.out.tfevents.1708431528.b7bcaa3b0fd6.252.0 +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +31 -6
- training_args.bin +1 -1
- vocab.txt +0 -0
README.md
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---
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-
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tags:
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- generated_from_trainer
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metrics:
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# results
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.
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- Accuracy: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:------:|
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| No log | 1.0 | 308 | 0.
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### Framework versions
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---
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license: mit
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base_model: microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL
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tags:
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- generated_from_trainer
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metrics:
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# results
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This model is a fine-tuned version of [microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL](https://huggingface.co/microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4228
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- Precision: 0.9215
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- Recall: 0.9209
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- Accuracy: 0.9211
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- F1: 0.9210
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:------:|
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| No log | 1.0 | 308 | 0.3266 | 0.8847 | 0.8822 | 0.8820 | 0.8824 |
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| 0.4217 | 2.0 | 616 | 0.3034 | 0.9072 | 0.9066 | 0.9064 | 0.9065 |
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| 0.4217 | 3.0 | 924 | 0.3483 | 0.9171 | 0.9170 | 0.9170 | 0.9171 |
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| 0.163 | 4.0 | 1232 | 0.3952 | 0.9227 | 0.9227 | 0.9227 | 0.9226 |
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| 0.0722 | 5.0 | 1540 | 0.4228 | 0.9215 | 0.9209 | 0.9211 | 0.9210 |
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### Framework versions
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added_tokens.json
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{
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"</ENT>": 30523,
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"<ENT>": 30522,
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"[DUMMY]": 30524
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}
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config.json
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{
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"_name_or_path": "
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"architectures": [
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"BertForSequenceClassification"
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],
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"transformers_version": "4.35.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size":
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}
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{
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"_name_or_path": "microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL",
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"architectures": [
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"BertForSequenceClassification"
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"transformers_version": "4.35.2",
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"type_vocab_size": 2,
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"use_cache": true,
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}
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model.safetensors
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runs/Feb20_12-18-47_b7bcaa3b0fd6/events.out.tfevents.1708431528.b7bcaa3b0fd6.252.0
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tokenizer.json
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tokenizer_config.json
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"single_word": false,
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"special": true
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training_args.bin
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vocab.txt
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