Update inference/7B_single_dcu.py, result/all_results.json,...

Update inference/7B_single_dcu.py, result/all_results.json, result/training_loss.png, result/train_results.json files

inference/7B_single_dcu.py

+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
+
+model_name = "deepseek-ai/deepseek-math-7b-base"   # <your-model-path>
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16, device_map="auto")
+model.generation_config = GenerationConfig.from_pretrained(model_name)
+model.generation_config.pad_token_id = model.generation_config.eos_token_id
+
+text = "The integral of x^2 from 0 to 2 is"
+inputs = tokenizer(text, return_tensors="pt")
+outputs = model.generate(**inputs.to(model.device), max_new_tokens=100)
+
+result = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(result)
\ No newline at end of file

result/all_results.json

+{
+    "epoch": 3.0,
+    "eval_loss": 1.1501325368881226,
+    "eval_runtime": 24.1564,
+    "eval_samples_per_second": 4.14,
+    "eval_steps_per_second": 2.07,
+    "train_loss": 1.04150841889558,
+    "train_runtime": 1708.8196,
+    "train_samples_per_second": 1.58,
+    "train_steps_per_second": 0.395
+}
\ No newline at end of file

result/train_results.json

+{
+    "epoch": 3.0,
+    "train_loss": 1.04150841889558,
+    "train_runtime": 1708.8196,
+    "train_samples_per_second": 1.58,
+    "train_steps_per_second": 0.395
+}