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End of training

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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-2.8b-deduped
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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-tt-2.8b-mz-ada-v3-ch-123000
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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-tt-2.8b-mz-ada-v3-ch-123000
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+
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+ This model is a fine-tuned version of [EleutherAI/pythia-2.8b-deduped](https://huggingface.co/EleutherAI/pythia-2.8b-deduped) 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: 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: 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 4.37.2
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+ - Pytorch 2.2.0
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.2
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+ "hidden_size": 2560,
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+ "initializer_range": 0.02,
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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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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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.37.2",
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+ "use_parallel_residual": true,
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+ "vocab_size": 50304
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