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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: pythia-1.4b-sampling-watermark-distill-kgw-k0-gamma0.25-delta1
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# pythia-1.4b-sampling-watermark-distill-kgw-k0-gamma0.25-delta1
+
+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.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 64
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 1.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.13.1
+- Tokenizers 0.13.3

all_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 3.426367837997678,
+    "train_runtime": 9211.7603,
+    "train_samples_per_second": 58.029,
+    "train_steps_per_second": 0.907
+}

checkpoint-7500/optimizer.pt

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+size 1111864832

config.json

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+{
+  "_name_or_path": "/scr-ssd/cygu/weights/pythia-1.4b/",
+  "architectures": [
+    "GPTNeoXForCausalLM"
+  ],
+  "bos_token_id": 0,
+  "classifier_dropout": 0.1,
+  "eos_token_id": 0,
+  "hidden_act": "gelu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "gpt_neox",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "rotary_emb_base": 10000,
+  "rotary_pct": 0.25,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.2",
+  "use_cache": true,
+  "use_parallel_residual": true,
+  "vocab_size": 50304
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.29.2"
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1bc815b3d7ffd14d06093ee404fea66b0df944ba57ed95c8bc34d89b536d4254
+size 5759380001

special_tokens_map.json

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+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 1000000000000000019884624838656,
+  "tokenizer_class": "GPTNeoXTokenizer",
+  "unk_token": "<|endoftext|>"
+}

train_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 3.426367837997678,
+    "train_runtime": 9211.7603,
+    "train_samples_per_second": 58.029,
+    "train_steps_per_second": 0.907
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:55aeadeb9d5540558752c6c14dec3a8fcbaa54241c01de780be378e4707b53bf
+size 4155

watermark_config.json

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+{"type": "kgw", "k": 1, "gamma": 0.25, "delta": 1.0, "seeding_scheme": "simple_0", "kgw_device": "cuda"}