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README.md ADDED
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+ ---
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+ license: other
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+ base_model: Qwen/Qwen1.5-1.8B
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - teknium/OpenHermes-2.5
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+ model-index:
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+ - name: Qwen1.5-1.8B-OpenHermes-2.5
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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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+ # Qwen1.5-1.8B-OpenHermes-2.5
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+
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+ This model is a fine-tuned version of [Qwen/Qwen1.5-1.8B](https://huggingface.co/Qwen/Qwen1.5-1.8B) on the teknium/OpenHermes-2.5 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: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 2
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 16
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 1.0
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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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+ - Transformers 4.37.2
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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+
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+ ### Inference
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+
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+ ```
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+ from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
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+
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+ model_id = "minghaowu/phi-2-OpenHermes-2.5"
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+ tokenizer = AutoTokenizer.from_pretrained(model_id)
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+ model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto")
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+ pipe = pipeline("text-generation", model=model, tokenizer=tokenizer, device_map="auto")
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+
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+ your_instruction = <your_instruction>
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+ infer_prompt = f"### USER: {your_instruction} <|endoftext|>\n### ASSISTANT:"
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+ output = pipe(infer_prompt, do_sample=True, max_new_tokens=256)[0]["generated_text"]
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+ print(output)
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+ ```
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+ "<|im_start|>": 151644
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+ }
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+ {
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+ "epoch": 1.0,
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+ "train_loss": 0.6164480857932007,
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+ "train_runtime": 161116.6406,
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+ "train_samples": 1001551,
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+ "train_samples_per_second": 6.216,
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+ "train_steps_per_second": 0.049
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+ }
config.json ADDED
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+ {
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+ "_name_or_path": "Qwen/Qwen1.5-1.8B",
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+ "architectures": [
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+ "Qwen2ForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "hidden_act": "silu",
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+ "hidden_size": 2048,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 5504,
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+ "max_position_embeddings": 32768,
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+ "max_window_layers": 21,
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+ "model_type": "qwen2",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 24,
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+ "num_key_value_heads": 16,
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+ "rms_norm_eps": 1e-06,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": 32768,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.37.2",
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+ "use_cache": true,
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+ "use_sliding_window": false,
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+ "vocab_size": 151936
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+ }
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+ "max_new_tokens": 2048,
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+ "transformers_version": "4.37.2"
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+ }
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+ "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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