[INFO|configuration_utils.py:675] 2024-10-25 03:43:47,884 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 03:43:47,886 >> Model config LlamaConfig { "_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct", "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2206] 2024-10-25 03:43:47,945 >> loading file tokenizer.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/tokenizer.json [INFO|tokenization_utils_base.py:2206] 2024-10-25 03:43:47,945 >> loading file tokenizer.model from cache at None [INFO|tokenization_utils_base.py:2206] 2024-10-25 03:43:47,945 >> loading file added_tokens.json from cache at None [INFO|tokenization_utils_base.py:2206] 2024-10-25 03:43:47,945 >> loading file special_tokens_map.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/special_tokens_map.json [INFO|tokenization_utils_base.py:2206] 2024-10-25 03:43:47,945 >> loading file tokenizer_config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/tokenizer_config.json [INFO|tokenization_utils_base.py:2470] 2024-10-25 03:43:48,495 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. [INFO|configuration_utils.py:675] 2024-10-25 03:43:48,712 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 03:43:48,713 >> Model config LlamaConfig { "_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct", "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2206] 2024-10-25 03:43:48,775 >> loading file tokenizer.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/tokenizer.json [INFO|tokenization_utils_base.py:2206] 2024-10-25 03:43:48,775 >> loading file tokenizer.model from cache at None [INFO|tokenization_utils_base.py:2206] 2024-10-25 03:43:48,775 >> loading file added_tokens.json from cache at None [INFO|tokenization_utils_base.py:2206] 2024-10-25 03:43:48,776 >> loading file special_tokens_map.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/special_tokens_map.json [INFO|tokenization_utils_base.py:2206] 2024-10-25 03:43:48,776 >> loading file tokenizer_config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/tokenizer_config.json [INFO|tokenization_utils_base.py:2470] 2024-10-25 03:43:49,388 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained. [INFO|configuration_utils.py:675] 2024-10-25 03:46:26,140 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 03:46:26,142 >> Model config LlamaConfig { "_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct", "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|modeling_utils.py:3732] 2024-10-25 03:46:26,215 >> loading weights file model.safetensors from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/model.safetensors.index.json [INFO|modeling_utils.py:1622] 2024-10-25 03:46:26,217 >> Instantiating LlamaForCausalLM model under default dtype torch.bfloat16. [INFO|configuration_utils.py:1099] 2024-10-25 03:46:26,219 >> Generate config GenerationConfig { "bos_token_id": 128000, "eos_token_id": 128009 } [INFO|modeling_utils.py:4574] 2024-10-25 03:46:30,956 >> All model checkpoint weights were used when initializing LlamaForCausalLM. [INFO|modeling_utils.py:4582] 2024-10-25 03:46:30,957 >> All the weights of LlamaForCausalLM were initialized from the model checkpoint at meta-llama/Meta-Llama-3-8B-Instruct. 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] 2024-10-25 03:46:31,010 >> loading configuration file generation_config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/generation_config.json [INFO|configuration_utils.py:1099] 2024-10-25 03:46:31,010 >> Generate config GenerationConfig { "bos_token_id": 128000, "do_sample": true, "eos_token_id": [ 128001, 128009 ], "max_length": 4096, "temperature": 0.6, "top_p": 0.9 } [INFO|trainer.py:667] 2024-10-25 03:46:31,396 >> Using auto half precision backend [INFO|trainer.py:2243] 2024-10-25 03:46:32,073 >> ***** Running training ***** [INFO|trainer.py:2244] 2024-10-25 03:46:32,073 >> Num examples = 117 [INFO|trainer.py:2245] 2024-10-25 03:46:32,073 >> Num Epochs = 12 [INFO|trainer.py:2246] 2024-10-25 03:46:32,073 >> Instantaneous batch size per device = 2 [INFO|trainer.py:2249] 2024-10-25 03:46:32,073 >> Total train batch size (w. parallel, distributed & accumulation) = 8 [INFO|trainer.py:2250] 2024-10-25 03:46:32,073 >> Gradient Accumulation steps = 4 [INFO|trainer.py:2251] 2024-10-25 03:46:32,073 >> Total optimization steps = 168 [INFO|trainer.py:2252] 2024-10-25 03:46:32,076 >> Number of trainable parameters = 20,971,520 [INFO|trainer.py:3705] 2024-10-25 03:48:12,417 >> Saving model checkpoint to saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-10 [INFO|configuration_utils.py:675] 2024-10-25 03:48:12,560 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 03:48:12,561 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2641] 2024-10-25 03:48:12,727 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-10/tokenizer_config.json [INFO|tokenization_utils_base.py:2650] 2024-10-25 03:48:12,727 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-10/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-25 03:49:48,740 >> Saving model checkpoint to saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-20 [INFO|configuration_utils.py:675] 2024-10-25 03:49:48,862 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 03:49:48,862 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2641] 2024-10-25 03:49:48,979 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-20/tokenizer_config.json [INFO|tokenization_utils_base.py:2650] 2024-10-25 03:49:48,979 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-20/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-25 03:51:28,894 >> Saving model checkpoint to saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-30 [INFO|configuration_utils.py:675] 2024-10-25 03:51:29,020 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 03:51:29,021 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2641] 2024-10-25 03:51:29,142 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-30/tokenizer_config.json [INFO|tokenization_utils_base.py:2650] 2024-10-25 03:51:29,142 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-30/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-25 03:53:07,878 >> Saving model checkpoint to saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-40 [INFO|configuration_utils.py:675] 2024-10-25 03:53:08,011 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 03:53:08,012 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2641] 2024-10-25 03:53:08,124 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-40/tokenizer_config.json [INFO|tokenization_utils_base.py:2650] 2024-10-25 03:53:08,124 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-40/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-25 03:54:47,749 >> Saving model checkpoint to saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-50 [INFO|configuration_utils.py:675] 2024-10-25 03:54:47,877 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 03:54:47,878 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2641] 2024-10-25 03:54:47,975 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-50/tokenizer_config.json [INFO|tokenization_utils_base.py:2650] 2024-10-25 03:54:47,976 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-50/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-25 03:56:27,690 >> Saving model checkpoint to saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-60 [INFO|configuration_utils.py:675] 2024-10-25 03:56:27,819 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 03:56:27,820 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2641] 2024-10-25 03:56:27,992 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-60/tokenizer_config.json [INFO|tokenization_utils_base.py:2650] 2024-10-25 03:56:27,992 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-60/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-25 03:58:09,117 >> Saving model checkpoint to saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-70 [INFO|configuration_utils.py:675] 2024-10-25 03:58:09,246 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 03:58:09,247 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2641] 2024-10-25 03:58:09,362 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-70/tokenizer_config.json [INFO|tokenization_utils_base.py:2650] 2024-10-25 03:58:09,362 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-70/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-25 03:59:47,308 >> Saving model checkpoint to saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-80 [INFO|configuration_utils.py:675] 2024-10-25 03:59:47,439 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 03:59:47,441 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2641] 2024-10-25 03:59:47,589 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-80/tokenizer_config.json [INFO|tokenization_utils_base.py:2650] 2024-10-25 03:59:47,590 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-80/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-25 04:01:26,666 >> Saving model checkpoint to saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-90 [INFO|configuration_utils.py:675] 2024-10-25 04:01:26,785 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 04:01:26,785 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2641] 2024-10-25 04:01:26,899 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-90/tokenizer_config.json [INFO|tokenization_utils_base.py:2650] 2024-10-25 04:01:26,899 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-90/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-25 04:03:03,936 >> Saving model checkpoint to saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-100 [INFO|configuration_utils.py:675] 2024-10-25 04:03:04,059 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 04:03:04,060 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2641] 2024-10-25 04:03:04,172 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-100/tokenizer_config.json [INFO|tokenization_utils_base.py:2650] 2024-10-25 04:03:04,173 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-100/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-25 04:04:41,054 >> Saving model checkpoint to saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-110 [INFO|configuration_utils.py:675] 2024-10-25 04:04:41,178 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 04:04:41,179 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2641] 2024-10-25 04:04:41,293 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-110/tokenizer_config.json [INFO|tokenization_utils_base.py:2650] 2024-10-25 04:04:41,293 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-110/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-25 04:06:21,626 >> Saving model checkpoint to saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-120 [INFO|configuration_utils.py:675] 2024-10-25 04:06:21,760 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 04:06:21,760 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2641] 2024-10-25 04:06:21,876 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-120/tokenizer_config.json [INFO|tokenization_utils_base.py:2650] 2024-10-25 04:06:21,876 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-120/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-25 04:08:03,973 >> Saving model checkpoint to saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-130 [INFO|configuration_utils.py:675] 2024-10-25 04:08:04,099 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 04:08:04,100 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2641] 2024-10-25 04:08:04,218 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-130/tokenizer_config.json [INFO|tokenization_utils_base.py:2650] 2024-10-25 04:08:04,218 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-130/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-25 04:09:44,060 >> Saving model checkpoint to saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-140 [INFO|configuration_utils.py:675] 2024-10-25 04:09:44,183 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 04:09:44,184 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2641] 2024-10-25 04:09:44,300 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-140/tokenizer_config.json [INFO|tokenization_utils_base.py:2650] 2024-10-25 04:09:44,300 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-140/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-25 04:11:24,827 >> Saving model checkpoint to saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-150 [INFO|configuration_utils.py:675] 2024-10-25 04:11:24,999 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 04:11:25,000 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2641] 2024-10-25 04:11:25,140 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-150/tokenizer_config.json [INFO|tokenization_utils_base.py:2650] 2024-10-25 04:11:25,141 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-150/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-25 04:13:04,925 >> Saving model checkpoint to saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-160 [INFO|configuration_utils.py:675] 2024-10-25 04:13:05,054 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 04:13:05,055 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2641] 2024-10-25 04:13:05,180 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-160/tokenizer_config.json [INFO|tokenization_utils_base.py:2650] 2024-10-25 04:13:05,180 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-160/special_tokens_map.json [INFO|trainer.py:3705] 2024-10-25 04:14:21,670 >> Saving model checkpoint to saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-168 [INFO|configuration_utils.py:675] 2024-10-25 04:14:21,811 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 04:14:21,812 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2641] 2024-10-25 04:14:21,952 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-168/tokenizer_config.json [INFO|tokenization_utils_base.py:2650] 2024-10-25 04:14:21,952 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/checkpoint-168/special_tokens_map.json [INFO|trainer.py:2505] 2024-10-25 04:14:22,390 >> Training completed. Do not forget to share your model on huggingface.co/models =) [INFO|trainer.py:3705] 2024-10-25 04:14:22,392 >> Saving model checkpoint to saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38 [INFO|configuration_utils.py:675] 2024-10-25 04:14:22,531 >> loading configuration file config.json from cache at /home/yiyangai/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/config.json [INFO|configuration_utils.py:742] 2024-10-25 04:14:22,532 >> Model config LlamaConfig { "architectures": [ "LlamaForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 128000, "eos_token_id": 128009, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 8192, "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": null, "rope_theta": 500000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": true, "vocab_size": 128256 } [INFO|tokenization_utils_base.py:2641] 2024-10-25 04:14:22,645 >> tokenizer config file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/tokenizer_config.json [INFO|tokenization_utils_base.py:2650] 2024-10-25 04:14:22,645 >> Special tokens file saved in saves/Llama-3-8B-Instruct/lora/train_2024-10-25-03-39-38/special_tokens_map.json [INFO|modelcard.py:449] 2024-10-25 04:14:22,993 >> Dropping the following result as it does not have all the necessary fields: {'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}}