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library_name: transformers
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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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model-index:
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- name:
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results: []
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---
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should probably proofread and complete it, then remove this comment. -->
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# sal-base
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7435
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- Accuracy: 0.8786
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- Precision Eol: 0.8682
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- Recall Eol: 0.9233
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- F1 Eol: 0.8949
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- Support Eol: 378
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- Roc Auc Eol: 0.9700
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- Precision Msg: 0.7391
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- Recall Msg: 0.5484
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- F1 Msg: 0.6296
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- Support Msg: 31
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- Roc Auc Msg: 0.9836
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- Precision Cmd: 0.2174
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- Recall Cmd: 0.4167
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- F1 Cmd: 0.2857
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- Support Cmd: 12
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- Roc Auc Cmd: 0.9762
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- Precision Var: 0.0
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- Recall Var: 0.0
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- F1 Var: 0.0
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- Support Var: 15
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- Roc Auc Var: 0.9956
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- Precision Dff: 0.0
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- Recall Dff: 0.0
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- F1 Dff: 0.0
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- Support Dff: 4
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- Roc Auc Dff: 0.9990
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- Precision Pgr: 0.8901
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- Recall Pgr: 0.9970
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- F1 Pgr: 0.9405
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- Support Pgr: 333
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- Roc Auc Pgr: 0.9991
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- Precision Stk: 0.9630
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- Recall Stk: 0.65
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- F1 Stk: 0.7761
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- Support Stk: 40
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- Roc Auc Stk: 0.9453
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- Precision Itm: 0.9821
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- Recall Itm: 0.7639
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- F1 Itm: 0.8594
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- Support Itm: 144
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- Roc Auc Itm: 0.9382
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- Precision Yml: 1.0
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- Recall Yml: 0.8537
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- F1 Yml: 0.9211
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- Support Yml: 41
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- Roc Auc Yml: 0.9964
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- Precision Obj: 1.0
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- Recall Obj: 1.0
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- F1 Obj: 1.0
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- Support Obj: 8
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- Roc Auc Obj: 1.0
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- Precision Tre: 1.0
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- Recall Tre: 0.9583
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- F1 Tre: 0.9787
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- Support Tre: 24
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- Roc Auc Tre: 1.0
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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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library_name: transformers
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tags:
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- generated_from_trainer
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model-index:
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- name: log-segment-tagger
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results: []
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---
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# log-segment-tagger
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## Training procedure
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