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05/20/2024 22:06:08 - INFO - transformers.tokenization_utils_base - loading file vocab.json from cache at /root/.cache/huggingface/hub/models--Qwen--Qwen1.5-0.5B-Chat/snapshots/4d14e384a4b037942bb3f3016665157c8bcb70ea/vocab.json
05/20/2024 22:06:08 - INFO - transformers.tokenization_utils_base - loading file merges.txt from cache at /root/.cache/huggingface/hub/models--Qwen--Qwen1.5-0.5B-Chat/snapshots/4d14e384a4b037942bb3f3016665157c8bcb70ea/merges.txt
05/20/2024 22:06:08 - INFO - transformers.tokenization_utils_base - loading file tokenizer.json from cache at /root/.cache/huggingface/hub/models--Qwen--Qwen1.5-0.5B-Chat/snapshots/4d14e384a4b037942bb3f3016665157c8bcb70ea/tokenizer.json
05/20/2024 22:06:08 - INFO - transformers.tokenization_utils_base - loading file added_tokens.json from cache at None
05/20/2024 22:06:08 - INFO - transformers.tokenization_utils_base - loading file special_tokens_map.json from cache at None
05/20/2024 22:06:08 - INFO - transformers.tokenization_utils_base - loading file tokenizer_config.json from cache at /root/.cache/huggingface/hub/models--Qwen--Qwen1.5-0.5B-Chat/snapshots/4d14e384a4b037942bb3f3016665157c8bcb70ea/tokenizer_config.json
05/20/2024 22:06:08 - WARNING - transformers.tokenization_utils_base - Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
05/20/2024 22:06:08 - INFO - llamafactory.data.template - Replace eos token: <|im_end|>
05/20/2024 22:06:08 - INFO - llamafactory.data.loader - Loading dataset identity.json...
05/20/2024 22:06:20 - INFO - transformers.configuration_utils - loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--Qwen--Qwen1.5-0.5B-Chat/snapshots/4d14e384a4b037942bb3f3016665157c8bcb70ea/config.json
05/20/2024 22:06:20 - INFO - transformers.configuration_utils - Model config Qwen2Config {
"_name_or_path": "Qwen/Qwen1.5-0.5B-Chat",
"architectures": [
"Qwen2ForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 151643,
"eos_token_id": 151645,
"hidden_act": "silu",
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 2816,
"max_position_embeddings": 32768,
"max_window_layers": 21,
"model_type": "qwen2",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"num_key_value_heads": 16,
"rms_norm_eps": 1e-06,
"rope_theta": 1000000.0,
"sliding_window": 32768,
"tie_word_embeddings": true,
"torch_dtype": "bfloat16",
"transformers_version": "4.40.2",
"use_cache": true,
"use_sliding_window": false,
"vocab_size": 151936
}
05/20/2024 22:06:26 - INFO - transformers.modeling_utils - loading weights file model.safetensors from cache at /root/.cache/huggingface/hub/models--Qwen--Qwen1.5-0.5B-Chat/snapshots/4d14e384a4b037942bb3f3016665157c8bcb70ea/model.safetensors
05/20/2024 22:06:26 - INFO - transformers.modeling_utils - Instantiating Qwen2ForCausalLM model under default dtype torch.float16.
05/20/2024 22:06:26 - INFO - transformers.generation.configuration_utils - Generate config GenerationConfig {
"bos_token_id": 151643,
"eos_token_id": 151645
}
05/20/2024 22:06:29 - INFO - transformers.modeling_utils - All model checkpoint weights were used when initializing Qwen2ForCausalLM.
05/20/2024 22:06:29 - INFO - transformers.modeling_utils - All the weights of Qwen2ForCausalLM were initialized from the model checkpoint at Qwen/Qwen1.5-0.5B-Chat.
If your task is similar to the task the model of the checkpoint was trained on, you can already use Qwen2ForCausalLM for predictions without further training.
05/20/2024 22:06:29 - INFO - transformers.generation.configuration_utils - loading configuration file generation_config.json from cache at /root/.cache/huggingface/hub/models--Qwen--Qwen1.5-0.5B-Chat/snapshots/4d14e384a4b037942bb3f3016665157c8bcb70ea/generation_config.json
05/20/2024 22:06:29 - INFO - transformers.generation.configuration_utils - Generate config GenerationConfig {
"bos_token_id": 151643,
"do_sample": true,
"eos_token_id": [
151645,
151643
],
"pad_token_id": 151643,
"repetition_penalty": 1.1,
"top_p": 0.8
}
05/20/2024 22:06:29 - INFO - llamafactory.model.utils.checkpointing - Gradient checkpointing enabled.
05/20/2024 22:06:29 - INFO - llamafactory.model.utils.attention - Using torch SDPA for faster training and inference.
05/20/2024 22:06:29 - INFO - llamafactory.model.adapter - Upcasting trainable params to float32.
05/20/2024 22:06:29 - INFO - llamafactory.model.adapter - Fine-tuning method: LoRA
05/20/2024 22:06:30 - INFO - llamafactory.model.loader - trainable params: 786432 || all params: 464774144 || trainable%: 0.1692
05/20/2024 22:06:30 - INFO - transformers.trainer - Using auto half precision backend
05/20/2024 22:06:30 - INFO - transformers.trainer - ***** Running training *****
05/20/2024 22:06:30 - INFO - transformers.trainer - Num examples = 91
05/20/2024 22:06:30 - INFO - transformers.trainer - Num Epochs = 3
05/20/2024 22:06:30 - INFO - transformers.trainer - Instantaneous batch size per device = 2
05/20/2024 22:06:30 - INFO - transformers.trainer - Total train batch size (w. parallel, distributed & accumulation) = 16
05/20/2024 22:06:30 - INFO - transformers.trainer - Gradient Accumulation steps = 8
05/20/2024 22:06:30 - INFO - transformers.trainer - Total optimization steps = 15
05/20/2024 22:06:30 - INFO - transformers.trainer - Number of trainable parameters = 786,432
05/20/2024 22:06:39 - INFO - llamafactory.extras.callbacks - {'loss': 3.4077, 'learning_rate': 3.7500e-05, 'epoch': 0.87}
05/20/2024 22:06:46 - INFO - llamafactory.extras.callbacks - {'loss': 3.3417, 'learning_rate': 1.2500e-05, 'epoch': 1.74}
05/20/2024 22:06:53 - INFO - llamafactory.extras.callbacks - {'loss': 3.2838, 'learning_rate': 0.0000e+00, 'epoch': 2.61}
05/20/2024 22:06:53 - INFO - transformers.trainer -
Training completed. Do not forget to share your model on huggingface.co/models =)
05/20/2024 22:06:53 - INFO - transformers.trainer - Saving model checkpoint to saves/Qwen1.5-0.5B-Chat/lora/QwenTT
05/20/2024 22:06:54 - INFO - transformers.configuration_utils - loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--Qwen--Qwen1.5-0.5B-Chat/snapshots/4d14e384a4b037942bb3f3016665157c8bcb70ea/config.json
05/20/2024 22:06:54 - INFO - transformers.configuration_utils - Model config Qwen2Config {
"architectures": [
"Qwen2ForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 151643,
"eos_token_id": 151645,
"hidden_act": "silu",
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 2816,
"max_position_embeddings": 32768,
"max_window_layers": 21,
"model_type": "qwen2",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"num_key_value_heads": 16,
"rms_norm_eps": 1e-06,
"rope_theta": 1000000.0,
"sliding_window": 32768,
"tie_word_embeddings": true,
"torch_dtype": "bfloat16",
"transformers_version": "4.40.2",
"use_cache": true,
"use_sliding_window": false,
"vocab_size": 151936
}
05/20/2024 22:06:54 - INFO - transformers.tokenization_utils_base - tokenizer config file saved in saves/Qwen1.5-0.5B-Chat/lora/QwenTT/tokenizer_config.json
05/20/2024 22:06:54 - INFO - transformers.tokenization_utils_base - Special tokens file saved in saves/Qwen1.5-0.5B-Chat/lora/QwenTT/special_tokens_map.json
05/20/2024 22:06:54 - WARNING - llamafactory.extras.ploting - No metric eval_loss to plot.
05/20/2024 22:06:54 - 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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