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robust_llm_pythia-160m_mz-131f_PasswordMatch

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  1. README.md +52 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
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  34. special_tokens_map.json +24 -0
  35. tokenizer.json +0 -0
  36. tokenizer_config.json +213 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: EleutherAI/pythia-160m
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: robust_llm_pythia-160m_mz-131f_PasswordMatch
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+ results: []
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+ ---
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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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+
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+ # robust_llm_pythia-160m_mz-131f_PasswordMatch
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+
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+ This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.co/EleutherAI/pythia-160m) on an unknown 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: 1e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 64
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+ - seed: 0
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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: 1
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.2.1
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
config.json ADDED
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+ {
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+ "_name_or_path": "EleutherAI/pythia-160m",
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+ "architectures": [
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+ "GPTNeoXForSequenceClassification"
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+ ],
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+ "attention_bias": true,
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+ "attention_dropout": 0.0,
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+ "classifier_dropout": 0.1,
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+ "eos_token_id": 0,
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+ "hidden_act": "gelu",
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+ "hidden_size": 768,
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 2048,
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+ "model_type": "gpt_neox",
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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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+ "problem_type": "single_label_classification",
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+ "rope_scaling": null,
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+ "rotary_emb_base": 10000,
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+ "rotary_pct": 0.25,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.39.3",
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+ "use_cache": false,
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+ "use_parallel_residual": true,
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+ "vocab_size": 50304
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+ }
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