
```
wandb:                 eval/f1 0.86218
wandb:               eval/loss 0.65831
wandb:                  eval/p 0.86153
wandb:                  eval/r 0.86529

```

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




Note: 
Note:   
1. '[evidence_text][SEP][claim]'
2. Only trained/validated on instances length <= 512 tokens.
TAGS
#transformers #pytorch #safetensors #bert #text-classification #en #dataset-copenlu/fever_gold_evidence #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us 
