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roberta-tagalog-profanity-classifier

Text Classification
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PyTorch
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roberta
Generated from Trainer
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mginoben commited on
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f2bf58e
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1 Parent(s): 1aba97f

Training in progress, epoch 1

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Files changed (12) hide show
  1. config.json +2 -2
  2. pytorch_model.bin +2 -2
  3. runs/Jun05_02-39-39_d4587610e646/1685932782.7604973/events.out.tfevents.1685932782.d4587610e646.12168.16 +3 -0
  4. runs/Jun05_02-39-39_d4587610e646/events.out.tfevents.1685932782.d4587610e646.12168.15 +3 -0
  5. runs/Jun05_02-40-38_d4587610e646/1685932841.1551256/events.out.tfevents.1685932841.d4587610e646.12168.18 +3 -0
  6. runs/Jun05_02-40-38_d4587610e646/events.out.tfevents.1685932841.d4587610e646.12168.17 +3 -0
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  8. runs/Jun05_02-42-02_d4587610e646/events.out.tfevents.1685932926.d4587610e646.12168.19 +3 -0
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  10. runs/Jun05_02-42-40_d4587610e646/events.out.tfevents.1685932963.d4587610e646.12168.21 +3 -0
  11. tokenizer.json +1 -1
  12. training_args.bin +1 -1
config.json CHANGED
@@ -1,7 +1,7 @@
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  {
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  "_name_or_path": "jcblaise/roberta-tagalog-base",
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  "architectures": [
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- "BertForSequenceClassification"
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  "attention_probs_dropout_prob": 0.1,
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  "bos_token_id": 0,
@@ -23,7 +23,7 @@
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  },
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  "layer_norm_eps": 1e-05,
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  "max_position_embeddings": 514,
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- "model_type": "bert",
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  "num_attention_heads": 12,
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  "num_hidden_layers": 12,
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  "pad_token_id": 1,
 
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  "attention_probs_dropout_prob": 0.1,
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  "bos_token_id": 0,
 
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  "layer_norm_eps": 1e-05,
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  "max_position_embeddings": 514,
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  "num_attention_heads": 12,
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