[INFO|configuration_utils.py:672] 2024-10-16 13:31:32,921 >> loading configuration file config.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/config.json [INFO|configuration_utils.py:739] 2024-10-16 13:31:32,923 >> Model config LlamaConfig { "_name_or_path": "NousResearch/Hermes-3-Llama-3.1-8B", "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128040, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.0", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2214] 2024-10-16 13:31:33,179 >> loading file tokenizer.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/tokenizer.json [INFO|tokenization_utils_base.py:2214] 2024-10-16 13:31:33,180 >> loading file tokenizer.model from cache at None [INFO|tokenization_utils_base.py:2214] 2024-10-16 13:31:33,180 >> loading file added_tokens.json from cache at None [INFO|tokenization_utils_base.py:2214] 2024-10-16 13:31:33,180 >> loading file special_tokens_map.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/special_tokens_map.json [INFO|tokenization_utils_base.py:2214] 2024-10-16 13:31:33,180 >> loading file tokenizer_config.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/tokenizer_config.json [INFO|tokenization_utils_base.py:2478] 2024-10-16 13:31:33,694 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. [INFO|configuration_utils.py:672] 2024-10-16 13:31:35,153 >> loading configuration file config.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/config.json [INFO|configuration_utils.py:739] 2024-10-16 13:31:35,154 >> Model config LlamaConfig { "_name_or_path": "NousResearch/Hermes-3-Llama-3.1-8B", "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128040, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.0", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2214] 2024-10-16 13:31:35,830 >> loading file tokenizer.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/tokenizer.json [INFO|tokenization_utils_base.py:2214] 2024-10-16 13:31:35,831 >> loading file tokenizer.model from cache at None [INFO|tokenization_utils_base.py:2214] 2024-10-16 13:31:35,831 >> loading file added_tokens.json from cache at None [INFO|tokenization_utils_base.py:2214] 2024-10-16 13:31:35,831 >> loading file special_tokens_map.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/special_tokens_map.json [INFO|tokenization_utils_base.py:2214] 2024-10-16 13:31:35,831 >> loading file tokenizer_config.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/tokenizer_config.json [INFO|tokenization_utils_base.py:2478] 2024-10-16 13:31:36,165 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. [INFO|configuration_utils.py:672] 2024-10-16 13:31:40,950 >> loading configuration file config.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/config.json [INFO|configuration_utils.py:739] 2024-10-16 13:31:40,952 >> Model config LlamaConfig { "_name_or_path": "NousResearch/Hermes-3-Llama-3.1-8B", "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128040, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.0", "use_cache": true, "vocab_size": 128256 } [INFO|modeling_utils.py:3726] 2024-10-16 13:31:41,010 >> loading weights file model.safetensors from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/model.safetensors.index.json [INFO|modeling_utils.py:1622] 2024-10-16 13:31:41,012 >> Instantiating LlamaForCausalLM model under default dtype torch.bfloat16. [INFO|configuration_utils.py:1099] 2024-10-16 13:31:41,013 >> Generate config GenerationConfig { "bos_token_id": 128000, "eos_token_id": 128040 } [INFO|modeling_utils.py:4568] 2024-10-16 13:39:26,337 >> All model checkpoint weights were used when initializing LlamaForCausalLM. [INFO|modeling_utils.py:4576] 2024-10-16 13:39:26,337 >> All the weights of LlamaForCausalLM were initialized from the model checkpoint at NousResearch/Hermes-3-Llama-3.1-8B. If your task is similar to the task the model of the checkpoint was trained on, you can already use LlamaForCausalLM for predictions without further training. [INFO|configuration_utils.py:1054] 2024-10-16 13:39:26,714 >> loading configuration file generation_config.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/generation_config.json [INFO|configuration_utils.py:1099] 2024-10-16 13:39:26,714 >> Generate config GenerationConfig { "bos_token_id": 128000, "do_sample": true, "eos_token_id": 128040, "temperature": 0.6, "top_p": 0.9 } [INFO|trainer.py:667] 2024-10-16 13:39:27,203 >> Using auto half precision backend [INFO|trainer.py:2243] 2024-10-16 13:39:28,204 >> ***** Running training ***** [INFO|trainer.py:2244] 2024-10-16 13:39:28,204 >> Num examples = 4,244 [INFO|trainer.py:2245] 2024-10-16 13:39:28,204 >> Num Epochs = 6 [INFO|trainer.py:2246] 2024-10-16 13:39:28,204 >> Instantaneous batch size per device = 2 [INFO|trainer.py:2249] 2024-10-16 13:39:28,204 >> Total train batch size (w. parallel, distributed & accumulation) = 32 [INFO|trainer.py:2250] 2024-10-16 13:39:28,204 >> Gradient Accumulation steps = 8 [INFO|trainer.py:2251] 2024-10-16 13:39:28,204 >> Total optimization steps = 792 [INFO|trainer.py:2252] 2024-10-16 13:39:28,211 >> Number of trainable parameters = 20,971,520 [INFO|trainer.py:3705] 2024-10-16 13:50:33,869 >> Saving model checkpoint to saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-100 [INFO|configuration_utils.py:672] 2024-10-16 13:50:34,457 >> loading configuration file config.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/config.json [INFO|configuration_utils.py:739] 2024-10-16 13:50:34,458 >> Model config LlamaConfig { "_name_or_path": "NousResearch/Hermes-3-Llama-3.1-8B", "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128040, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.0", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2649] 2024-10-16 13:50:34,614 >> tokenizer config file saved in saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-100/tokenizer_config.json [INFO|tokenization_utils_base.py:2658] 2024-10-16 13:50:34,615 >> Special tokens file saved in saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-100/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-16 14:01:29,859 >> Saving model checkpoint to saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-200 [INFO|configuration_utils.py:672] 2024-10-16 14:01:30,499 >> loading configuration file config.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/config.json [INFO|configuration_utils.py:739] 2024-10-16 14:01:30,500 >> Model config LlamaConfig { "_name_or_path": "NousResearch/Hermes-3-Llama-3.1-8B", "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128040, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.0", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2649] 2024-10-16 14:01:30,637 >> tokenizer config file saved in saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-200/tokenizer_config.json [INFO|tokenization_utils_base.py:2658] 2024-10-16 14:01:30,637 >> Special tokens file saved in saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-200/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-16 14:12:39,845 >> Saving model checkpoint to saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-300 [INFO|configuration_utils.py:672] 2024-10-16 14:12:41,404 >> loading configuration file config.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/config.json [INFO|configuration_utils.py:739] 2024-10-16 14:12:41,405 >> Model config LlamaConfig { "_name_or_path": "NousResearch/Hermes-3-Llama-3.1-8B", "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128040, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.0", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2649] 2024-10-16 14:12:41,563 >> tokenizer config file saved in saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-300/tokenizer_config.json [INFO|tokenization_utils_base.py:2658] 2024-10-16 14:12:41,563 >> Special tokens file saved in saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-300/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-16 14:23:58,146 >> Saving model checkpoint to saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-400 [INFO|configuration_utils.py:672] 2024-10-16 14:23:58,714 >> loading configuration file config.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/config.json [INFO|configuration_utils.py:739] 2024-10-16 14:23:58,715 >> Model config LlamaConfig { "_name_or_path": "NousResearch/Hermes-3-Llama-3.1-8B", "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128040, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.0", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2649] 2024-10-16 14:23:58,874 >> tokenizer config file saved in saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-400/tokenizer_config.json [INFO|tokenization_utils_base.py:2658] 2024-10-16 14:23:58,875 >> Special tokens file saved in saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-400/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-16 14:35:15,746 >> Saving model checkpoint to saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-500 [INFO|configuration_utils.py:672] 2024-10-16 14:35:16,768 >> loading configuration file config.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/config.json [INFO|configuration_utils.py:739] 2024-10-16 14:35:16,769 >> Model config LlamaConfig { "_name_or_path": "NousResearch/Hermes-3-Llama-3.1-8B", "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128040, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.0", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2649] 2024-10-16 14:35:16,929 >> tokenizer config file saved in saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-500/tokenizer_config.json [INFO|tokenization_utils_base.py:2658] 2024-10-16 14:35:16,929 >> Special tokens file saved in saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-500/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-16 14:46:13,837 >> Saving model checkpoint to saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-600 [INFO|configuration_utils.py:672] 2024-10-16 14:46:14,835 >> loading configuration file config.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/config.json [INFO|configuration_utils.py:739] 2024-10-16 14:46:14,836 >> Model config LlamaConfig { "_name_or_path": "NousResearch/Hermes-3-Llama-3.1-8B", "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128040, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.0", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2649] 2024-10-16 14:46:14,994 >> tokenizer config file saved in saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-600/tokenizer_config.json [INFO|tokenization_utils_base.py:2658] 2024-10-16 14:46:14,995 >> Special tokens file saved in saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-600/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-16 14:57:08,664 >> Saving model checkpoint to saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-700 [INFO|configuration_utils.py:672] 2024-10-16 14:57:09,697 >> loading configuration file config.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/config.json [INFO|configuration_utils.py:739] 2024-10-16 14:57:09,698 >> Model config LlamaConfig { "_name_or_path": "NousResearch/Hermes-3-Llama-3.1-8B", "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128040, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.0", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2649] 2024-10-16 14:57:09,860 >> tokenizer config file saved in saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-700/tokenizer_config.json [INFO|tokenization_utils_base.py:2658] 2024-10-16 14:57:09,860 >> Special tokens file saved in saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-700/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-16 15:07:30,273 >> Saving model checkpoint to saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-792 [INFO|configuration_utils.py:672] 2024-10-16 15:07:30,871 >> loading configuration file config.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/config.json [INFO|configuration_utils.py:739] 2024-10-16 15:07:30,873 >> Model config LlamaConfig { "_name_or_path": "NousResearch/Hermes-3-Llama-3.1-8B", "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128040, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.0", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2649] 2024-10-16 15:07:31,029 >> tokenizer config file saved in saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-792/tokenizer_config.json [INFO|tokenization_utils_base.py:2658] 2024-10-16 15:07:31,029 >> Special tokens file saved in saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/checkpoint-792/special_tokens_map.json [INFO|trainer.py:2505] 2024-10-16 15:07:31,384 >> Training completed. Do not forget to share your model on huggingface.co/models =) [INFO|trainer.py:3705] 2024-10-16 15:07:31,386 >> Saving model checkpoint to saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59 [INFO|configuration_utils.py:672] 2024-10-16 15:07:33,366 >> loading configuration file config.json from cache at /home/.cache/huggingface/hub/models--NousResearch--Hermes-3-Llama-3.1-8B/snapshots/896ea440e5a9e6070e3d8a2774daf2b481ab425b/config.json [INFO|configuration_utils.py:739] 2024-10-16 15:07:33,367 >> Model config LlamaConfig { "_name_or_path": "NousResearch/Hermes-3-Llama-3.1-8B", "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128040, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 131072, "mlp_bias": false, "model_type": "llama", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": { "factor": 8.0, "high_freq_factor": 4.0, "low_freq_factor": 1.0, "original_max_position_embeddings": 8192, "rope_type": "llama3" }, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.0", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2649] 2024-10-16 15:07:33,476 >> tokenizer config file saved in saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/tokenizer_config.json [INFO|tokenization_utils_base.py:2658] 2024-10-16 15:07:33,477 >> Special tokens file saved in saves/LLaMA3.1-8B/lora/4k_train_2024-10-16-13-29-59/special_tokens_map.json [INFO|modelcard.py:449] 2024-10-16 15:07:33,708 >> Dropping the following result as it does not have all the necessary fields: {'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}}