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End of training

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  1. README.md +49 -8
  2. config.json +0 -1
  3. pytorch_model.bin +1 -1
  4. training_args.bin +2 -2
README.md CHANGED
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- If you get a "missing tokenizer" error, run this line as well when importing the model:
 
 
 
 
 
 
 
 
 
 
 
 
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- `tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')`
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- ---
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- language:
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- - english
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- metrics:
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- - wer
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ language:
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+ - en
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+ license: apache-2.0
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+ base_model: bert-base-cased
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - discord
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+ model-index:
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+ - name: rzeydelis/discord-crypto-scam-detector
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+ results: []
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+ ---
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+ # rzeydelis/discord-crypto-scam-detector
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+ This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the discord-crypto dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3.0
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.3
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
config.json CHANGED
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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": "single_label_classification",
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  "torch_dtype": "float32",
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  "transformers_version": "4.33.3",
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  "type_vocab_size": 2,
 
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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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  "torch_dtype": "float32",
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  "transformers_version": "4.33.3",
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  "type_vocab_size": 2,
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