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05/24/2024 18:37:53 - INFO - transformers.tokenization_utils_base - loading file tokenizer.json from cache at C:\Users\itos\.cache\huggingface\hub\models--meta-llama--Meta-Llama-3-8B\snapshots\62bd457b6fe961a42a631306577e622c83876cb6\tokenizer.json
05/24/2024 18:37:53 - INFO - transformers.tokenization_utils_base - loading file added_tokens.json from cache at None
05/24/2024 18:37:53 - INFO - transformers.tokenization_utils_base - loading file special_tokens_map.json from cache at C:\Users\itos\.cache\huggingface\hub\models--meta-llama--Meta-Llama-3-8B\snapshots\62bd457b6fe961a42a631306577e622c83876cb6\special_tokens_map.json
05/24/2024 18:37:53 - INFO - transformers.tokenization_utils_base - loading file tokenizer_config.json from cache at C:\Users\itos\.cache\huggingface\hub\models--meta-llama--Meta-Llama-3-8B\snapshots\62bd457b6fe961a42a631306577e622c83876cb6\tokenizer_config.json
05/24/2024 18:37:53 - WARNING - transformers.tokenization_utils_base - Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
05/24/2024 18:37:53 - INFO - llamafactory.data.template - Add pad token: <|end_of_text|>
05/24/2024 18:37:53 - INFO - llamafactory.data.loader - Loading dataset itos_data_ko.json...
05/24/2024 18:37:54 - INFO - transformers.configuration_utils - loading configuration file config.json from cache at C:\Users\itos\.cache\huggingface\hub\models--meta-llama--Meta-Llama-3-8B\snapshots\62bd457b6fe961a42a631306577e622c83876cb6\config.json
05/24/2024 18:37:54 - INFO - transformers.configuration_utils - Model config LlamaConfig {
"_name_or_path": "meta-llama/Meta-Llama-3-8B",
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 128000,
"eos_token_id": 128001,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 8192,
"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": "4.40.2",
"use_cache": true,
"vocab_size": 128256
}
05/24/2024 18:37:54 - INFO - transformers.modeling_utils - loading weights file model.safetensors from cache at C:\Users\itos\.cache\huggingface\hub\models--meta-llama--Meta-Llama-3-8B\snapshots\62bd457b6fe961a42a631306577e622c83876cb6\model.safetensors.index.json
05/24/2024 18:37:54 - INFO - transformers.modeling_utils - Instantiating LlamaForCausalLM model under default dtype torch.float16.
05/24/2024 18:37:54 - INFO - transformers.generation.configuration_utils - Generate config GenerationConfig {
"bos_token_id": 128000,
"eos_token_id": 128001
}
05/24/2024 18:38:27 - INFO - transformers.modeling_utils - All model checkpoint weights were used when initializing LlamaForCausalLM.
05/24/2024 18:38:27 - INFO - transformers.modeling_utils - All the weights of LlamaForCausalLM were initialized from the model checkpoint at meta-llama/Meta-Llama-3-8B.
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.
05/24/2024 18:38:27 - INFO - transformers.generation.configuration_utils - loading configuration file generation_config.json from cache at C:\Users\itos\.cache\huggingface\hub\models--meta-llama--Meta-Llama-3-8B\snapshots\62bd457b6fe961a42a631306577e622c83876cb6\generation_config.json
05/24/2024 18:38:27 - INFO - transformers.generation.configuration_utils - Generate config GenerationConfig {
"bos_token_id": 128000,
"do_sample": true,
"eos_token_id": 128001,
"max_length": 4096,
"temperature": 0.6,
"top_p": 0.9
}
05/24/2024 18:38:27 - INFO - llamafactory.model.utils.checkpointing - Gradient checkpointing enabled.
05/24/2024 18:38:27 - INFO - llamafactory.model.utils.attention - Using torch SDPA for faster training and inference.
05/24/2024 18:38:27 - INFO - llamafactory.model.adapter - Upcasting trainable params to float32.
05/24/2024 18:38:27 - INFO - llamafactory.model.adapter - Fine-tuning method: LoRA
05/24/2024 18:38:27 - INFO - llamafactory.model.loader - trainable params: 3407872 || all params: 8033669120 || trainable%: 0.0424
05/24/2024 18:38:27 - INFO - transformers.trainer - Using auto half precision backend
05/24/2024 18:38:28 - INFO - transformers.trainer - ***** Running training *****
05/24/2024 18:38:28 - INFO - transformers.trainer - Num examples = 338
05/24/2024 18:38:28 - INFO - transformers.trainer - Num Epochs = 3
05/24/2024 18:38:28 - INFO - transformers.trainer - Instantaneous batch size per device = 2
05/24/2024 18:38:28 - INFO - transformers.trainer - Total train batch size (w. parallel, distributed & accumulation) = 16
05/24/2024 18:38:28 - INFO - transformers.trainer - Gradient Accumulation steps = 8
05/24/2024 18:38:28 - INFO - transformers.trainer - Total optimization steps = 63
05/24/2024 18:38:28 - INFO - transformers.trainer - Number of trainable parameters = 3,407,872
05/24/2024 18:42:07 - INFO - llamafactory.extras.callbacks - {'loss': 2.9767, 'learning_rate': 4.9227e-05, 'epoch': 0.24}
05/24/2024 18:46:13 - INFO - llamafactory.extras.callbacks - {'loss': 2.9754, 'learning_rate': 4.6956e-05, 'epoch': 0.47}
05/24/2024 18:50:53 - INFO - llamafactory.extras.callbacks - {'loss': 2.9723, 'learning_rate': 4.3326e-05, 'epoch': 0.71}
05/24/2024 18:55:14 - INFO - llamafactory.extras.callbacks - {'loss': 2.7976, 'learning_rate': 3.8564e-05, 'epoch': 0.95}
05/24/2024 18:59:43 - INFO - llamafactory.extras.callbacks - {'loss': 2.7409, 'learning_rate': 3.2962e-05, 'epoch': 1.18}
05/24/2024 19:03:53 - INFO - llamafactory.extras.callbacks - {'loss': 2.4753, 'learning_rate': 2.6868e-05, 'epoch': 1.42}
05/24/2024 19:07:57 - INFO - llamafactory.extras.callbacks - {'loss': 2.5400, 'learning_rate': 2.0659e-05, 'epoch': 1.66}
05/24/2024 19:11:55 - INFO - llamafactory.extras.callbacks - {'loss': 2.4686, 'learning_rate': 1.4718e-05, 'epoch': 1.89}
05/24/2024 19:15:51 - INFO - llamafactory.extras.callbacks - {'loss': 2.4011, 'learning_rate': 9.4128e-06, 'epoch': 2.13}
05/24/2024 19:19:53 - INFO - llamafactory.extras.callbacks - {'loss': 2.4184, 'learning_rate': 5.0717e-06, 'epoch': 2.37}
05/24/2024 19:23:54 - INFO - llamafactory.extras.callbacks - {'loss': 2.3458, 'learning_rate': 1.9631e-06, 'epoch': 2.60}
05/24/2024 19:27:55 - INFO - llamafactory.extras.callbacks - {'loss': 2.3665, 'learning_rate': 2.7923e-07, 'epoch': 2.84}
05/24/2024 19:30:27 - INFO - transformers.trainer -
Training completed. Do not forget to share your model on huggingface.co/models =)
05/24/2024 19:30:27 - INFO - transformers.trainer - Saving model checkpoint to saves\LLaMA3-8B\lora\train_2024-05-24-18-35-12
05/24/2024 19:30:27 - INFO - transformers.configuration_utils - loading configuration file config.json from cache at C:\Users\itos\.cache\huggingface\hub\models--meta-llama--Meta-Llama-3-8B\snapshots\62bd457b6fe961a42a631306577e622c83876cb6\config.json
05/24/2024 19:30:27 - INFO - transformers.configuration_utils - Model config LlamaConfig {
"architectures": [
"LlamaForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 128000,
"eos_token_id": 128001,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 8192,
"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": "4.40.2",
"use_cache": true,
"vocab_size": 128256
}
05/24/2024 19:30:27 - INFO - transformers.tokenization_utils_base - tokenizer config file saved in saves\LLaMA3-8B\lora\train_2024-05-24-18-35-12\tokenizer_config.json
05/24/2024 19:30:27 - INFO - transformers.tokenization_utils_base - Special tokens file saved in saves\LLaMA3-8B\lora\train_2024-05-24-18-35-12\special_tokens_map.json
05/24/2024 19:30:27 - INFO - transformers.modelcard - Dropping the following result as it does not have all the necessary fields:
{'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}}
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