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README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: pythia-1.4b-sampling-watermark-distill-kgw-k0-gamma0.25-delta1
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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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+ # pythia-1.4b-sampling-watermark-distill-kgw-k0-gamma0.25-delta1
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+
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+ This model is a fine-tuned version of [/scr-ssd/cygu/weights/pythia-1.4b/](https://huggingface.co//scr-ssd/cygu/weights/pythia-1.4b/) 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: 64
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 1.0
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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 4.29.2
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.13.1
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+ - Tokenizers 0.13.3
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+ {
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+ "epoch": 1.0,
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+ "train_loss": 3.426367837997678,
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+ "train_runtime": 9211.7603,
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+ "train_samples_per_second": 58.029,
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+ "train_steps_per_second": 0.907
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+ }
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+ {
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+ "_name_or_path": "/scr-ssd/cygu/weights/pythia-1.4b/",
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+ "architectures": [
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+ "GPTNeoXForCausalLM"
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+ ],
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+ "bos_token_id": 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": 2048,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 8192,
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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": 16,
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+ "num_hidden_layers": 24,
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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": "4.29.2",
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+ "use_cache": true,
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+ "use_parallel_residual": true,
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+ "vocab_size": 50304
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+ }
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+ {
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+ "tokenizer_class": "GPTNeoXTokenizer",
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+ "train_steps_per_second": 0.907
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+ }
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watermark_config.json ADDED
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+ {"type": "kgw", "k": 1, "gamma": 0.25, "delta": 1.0, "seeding_scheme": "simple_0", "kgw_device": "cuda"}