Commit
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2530af9
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Parent(s):
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End of training
Browse files- README.md +109 -0
- model.safetensors +1 -1
README.md
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---
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base_model: allenai/scibert_scivocab_uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: CRAFT_SciBERT_NER
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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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# CRAFT_SciBERT_NER
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This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1143
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- Seqeval classification report: precision recall f1-score support
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CHEBI 0.74 0.70 0.72 457
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CL 0.82 0.75 0.78 1099
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GGP 0.92 0.93 0.93 2232
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GO 0.78 0.84 0.81 2508
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SO 0.83 0.81 0.82 1365
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Taxon 0.99 0.99 0.99 87655
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micro avg 0.98 0.98 0.98 95316
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macro avg 0.85 0.84 0.84 95316
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weighted avg 0.98 0.98 0.98 95316
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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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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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 | Seqeval classification report |
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|:-------------:|:-----:|:----:|:---------------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
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| No log | 1.0 | 347 | 0.1140 | precision recall f1-score support
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CHEBI 0.66 0.69 0.67 457
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CL 0.83 0.69 0.75 1099
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GGP 0.89 0.93 0.91 2232
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GO 0.76 0.85 0.80 2508
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SO 0.79 0.73 0.76 1365
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Taxon 0.99 0.99 0.99 87655
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micro avg 0.97 0.97 0.97 95316
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macro avg 0.82 0.81 0.81 95316
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weighted avg 0.97 0.97 0.97 95316
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| 0.1263 | 2.0 | 695 | 0.1126 | precision recall f1-score support
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CHEBI 0.73 0.69 0.71 457
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CL 0.85 0.72 0.78 1099
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GGP 0.91 0.93 0.92 2232
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GO 0.74 0.87 0.80 2508
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SO 0.82 0.80 0.81 1365
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Taxon 0.99 0.99 0.99 87655
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micro avg 0.97 0.97 0.97 95316
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macro avg 0.84 0.83 0.83 95316
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weighted avg 0.97 0.97 0.97 95316
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| 0.0326 | 3.0 | 1041 | 0.1143 | precision recall f1-score support
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CHEBI 0.74 0.70 0.72 457
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CL 0.82 0.75 0.78 1099
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GGP 0.92 0.93 0.93 2232
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GO 0.78 0.84 0.81 2508
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SO 0.83 0.81 0.82 1365
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Taxon 0.99 0.99 0.99 87655
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micro avg 0.98 0.98 0.98 95316
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macro avg 0.85 0.84 0.84 95316
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weighted avg 0.98 0.98 0.98 95316
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 437374820
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version https://git-lfs.github.com/spec/v1
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oid sha256:c6a317c02d9e01a69b0209c686655e0647b3c52845119c3f9ba9b58c2f1e627f
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size 437374820
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