
```
wandb:                 eval/f1 0.87196
wandb:               eval/loss 0.73371
wandb:                  eval/p 0.87077
wandb:                  eval/r 0.8753
```

**Note**:   
1. `[evidence_text][SEP][claim]`
2. Only trained/validated on instances length <= 512 tokens.

{"language": ["en"], "license": "afl-3.0", "datasets": ["copenlu/fever_gold_evidence"], "metrics": ["precision", "recall", "f1"]}
transformers pytorch bert text-classification en dataset:copenlu/fever_gold_evidence license:afl-3.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #en #dataset-copenlu/fever_gold_evidence #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us 




Note:   
1. '[evidence_text][SEP][claim]'
2. Only trained/validated on instances length <= 512 tokens.

TAGS
#transformers #pytorch #bert #text-classification #en #dataset-copenlu/fever_gold_evidence #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us 
