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Browse files- README.md +57 -0
- all_results.json +7 -0
- config.json +25 -0
- generation_config.json +10 -0
- pytorch_model-00001-of-00003.bin +3 -0
- pytorch_model-00002-of-00003.bin +3 -0
- pytorch_model-00003-of-00003.bin +3 -0
- pytorch_model.bin.index.json +298 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +33 -0
- train_results.json +7 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
- watermark_config.json +1 -0
README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- openwebtext
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model-index:
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- name: llama-2-7b-logits-watermark-distill-kgw-k2-gamma0.25-delta2
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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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# llama-2-7b-logits-watermark-distill-kgw-k2-gamma0.25-delta2
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This model is a fine-tuned version of [/scr-ssd/cygu/weights/Llama-2-7b-hf/](https://huggingface.co//scr-ssd/cygu/weights/Llama-2-7b-hf/) on the openwebtext dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 16
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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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- num_devices: 4
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- total_train_batch_size: 64
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- total_eval_batch_size: 32
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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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- training_steps: 5000
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### Training results
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### Framework versions
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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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all_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.22447939171940087,
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"train_runtime": 19959.1461,
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"train_samples_per_second": 16.033,
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"train_steps_per_second": 0.251
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}
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config.json
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{
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"_name_or_path": "/scr-ssd/cygu/weights/Llama-2-7b-hf/",
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"architectures": [
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"LlamaForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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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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"vocab_size": 32000
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}
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generation_config.json
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{
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"bos_token_id": 1,
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"do_sample": true,
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"eos_token_id": 2,
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"max_length": 4096,
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"pad_token_id": 0,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.29.2"
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}
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pytorch_model-00001-of-00003.bin
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size 9877984690
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pytorch_model-00002-of-00003.bin
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pytorch_model.bin.index.json
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trainer_state.json
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