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Hermes-3-Llama-3.1-405B-Samantha

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  1. .gitattributes +1 -0
  2. README.md +146 -0
  3. config.json +36 -0
  4. generation_config.json +7 -0
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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - Guilherme34/Samantha-newdataset-morelarge
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+ base_model: nicoboss/Hermes-3-Llama-3.1-405B-Uncensored
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+ model-index:
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+ - name: Hermes-3-Llama-3.1-405B-Samantha
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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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+ [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.6.0`
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+ ```yaml
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+ base_model: /root/Hermes-3-Llama-3.1-405B-Uncensored
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+ tokenizer_type: AutoTokenizer
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+
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+ load_in_4bit: true
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+ strict: false
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+
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+ datasets:
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+ - path: Guilherme34/Samantha-newdataset-morelarge
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+ type: chat_template
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+ chat_template: llama3
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+ field_messages: messages
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+ message_field_role: role
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+ message_field_content: content
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+ roles:
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+ system:
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+ - system
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+ user:
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+ - user
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+ assistant:
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+ - assistant
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+ dataset_prepared_path: last_run_prepared
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+ val_set_size: 0.0
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+ output_dir: ./outputs/out/Hermes-3-Llama-3.1-405B
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+ save_safetensors: true
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+
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+ adapter: qlora
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+
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+ sequence_len: 2048
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+ sample_packing: true
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+ pad_to_sequence_len: true
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+
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+ lora_r: 16
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+ lora_alpha: 16
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+ lora_dropout: 0.05
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+ lora_target_modules:
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+ lora_target_linear: true
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+
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+ gradient_accumulation_steps: 4
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+ micro_batch_size: 1
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+ num_epochs: 1
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+ optimizer: adamw_torch
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+ lr_scheduler: cosine
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+ learning_rate: 0.00001
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+
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+ train_on_inputs: false
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+ group_by_length: false
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+ bf16: true
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+ tf32: true
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+
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+ gradient_checkpointing: true
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+ gradient_checkpointing_kwargs:
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+ use_reentrant: true
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+ logging_steps: 1
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+ flash_attention: true
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+
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+ warmup_steps: 10
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+ evals_per_epoch: 3
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+ saves_per_epoch: 3
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+ save_total_limit: 20
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+ weight_decay: 0.0
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+ fsdp:
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+ - full_shard
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+ - auto_wrap
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+ fsdp_config:
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+ fsdp_limit_all_gathers: true
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+ fsdp_sync_module_states: true
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+ fsdp_offload_params: true
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+ fsdp_use_orig_params: false
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+ fsdp_cpu_ram_efficient_loading: true
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+ fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
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+ fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer
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+ fsdp_state_dict_type: FULL_STATE_DICT
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+ fsdp_sharding_strategy: FULL_SHARD
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+ special_tokens:
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+ pad_token: <|finetune_right_pad_id|>
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+
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+ ```
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+
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+ </details><br>
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+
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+ # outputs/out/Hermes-3-Llama-3.1-405B
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+
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+ This model was trained from scratch on the Guilherme34/Samantha-newdataset-morelarge 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: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 5
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 20
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+ - total_eval_batch_size: 5
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 10
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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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+ - PEFT 0.14.0
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+ - Transformers 4.47.1
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.21.0
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+ "_name_or_path": "/root/Hermes-3-Llama-3.1-405B-Uncensored",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 128000,
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+ "eos_token_id": 128039,
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+ "model_type": "llama",
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+ "num_attention_heads": 128,
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+ "num_hidden_layers": 126,
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+ "num_key_value_heads": 8,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": {
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+ "factor": 8.0,
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+ "high_freq_factor": 4.0,
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+ "low_freq_factor": 1.0,
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+ "original_max_position_embeddings": 8192,
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+ "rope_type": "llama3"
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+ },
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+ "rope_theta": 500000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.47.1",
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+ "use_cache": false,
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+ "vocab_size": 128256
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+ }
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