ogtega commited on
Commit
380ad51
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1 Parent(s): d6c5dc5

Training in progress epoch 0

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Files changed (4) hide show
  1. README.md +3 -3
  2. config.json +14 -16
  3. tf_model.h5 +2 -2
  4. tokenizer_config.json +1 -1
README.md CHANGED
@@ -12,9 +12,9 @@ probably proofread and complete it, then remove this comment. -->
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  # ogtega/tweet-toxicity-classifier
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- This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 1.8598
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  - Epoch: 0
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  ## Model description
@@ -41,7 +41,7 @@ The following hyperparameters were used during training:
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  | Train Loss | Epoch |
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  |:----------:|:-----:|
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- | 1.8598 | 0 |
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  ### Framework versions
 
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  # ogtega/tweet-toxicity-classifier
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.1537
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  - Epoch: 0
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  ## Model description
 
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  | Train Loss | Epoch |
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  |:----------:|:-----:|
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+ | 0.1537 | 0 |
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  ### Framework versions
config.json CHANGED
@@ -1,14 +1,13 @@
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  {
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- "_name_or_path": "bert-base-uncased",
 
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  "architectures": [
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- "BertForSequenceClassification"
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  ],
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- "attention_probs_dropout_prob": 0.1,
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- "classifier_dropout": null,
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- "gradient_checkpointing": false,
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- "hidden_act": "gelu",
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- "hidden_dropout_prob": 0.1,
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- "hidden_size": 768,
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  "id2label": {
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  "0": "toxic",
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  "1": "severe_toxic",
@@ -18,7 +17,6 @@
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  "5": "identity_hate"
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  },
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  "initializer_range": 0.02,
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- "intermediate_size": 3072,
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  "label2id": {
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  "identity_hate": 5,
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  "insult": 4,
@@ -27,16 +25,16 @@
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  "threat": 3,
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  "toxic": 0
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  },
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- "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
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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": 0,
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- "position_embedding_type": "absolute",
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  "problem_type": "multi_label_classification",
 
 
 
 
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  "transformers_version": "4.28.1",
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- "type_vocab_size": 2,
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- "use_cache": true,
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  "vocab_size": 30522
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  }
 
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  {
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+ "_name_or_path": "distilbert-base-uncased",
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+ "activation": "gelu",
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  "architectures": [
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+ "DistilBertForSequenceClassification"
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  ],
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+ "attention_dropout": 0.1,
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+ "dim": 768,
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+ "dropout": 0.1,
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+ "hidden_dim": 3072,
 
 
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  "id2label": {
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  "0": "toxic",
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  "1": "severe_toxic",
 
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  "5": "identity_hate"
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  },
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  "initializer_range": 0.02,
 
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  "label2id": {
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  "identity_hate": 5,
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  "insult": 4,
 
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  "threat": 3,
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  "toxic": 0
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  },
 
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  "max_position_embeddings": 512,
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+ "model_type": "distilbert",
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+ "n_heads": 12,
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+ "n_layers": 6,
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  "pad_token_id": 0,
 
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  "problem_type": "multi_label_classification",
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+ "qa_dropout": 0.1,
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+ "seq_classif_dropout": 0.2,
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+ "sinusoidal_pos_embds": false,
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+ "tie_weights_": true,
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  "transformers_version": "4.28.1",
 
 
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  "vocab_size": 30522
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  }
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tokenizer_config.json CHANGED
@@ -8,6 +8,6 @@
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  "sep_token": "[SEP]",
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  "strip_accents": null,
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  "tokenize_chinese_chars": true,
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- "tokenizer_class": "BertTokenizer",
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  "unk_token": "[UNK]"
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  }
 
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  "sep_token": "[SEP]",
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  "strip_accents": null,
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  "tokenize_chinese_chars": true,
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+ "tokenizer_class": "DistilBertTokenizer",
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  "unk_token": "[UNK]"
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  }