Update README.md
Browse files
README.md
CHANGED
@@ -46,13 +46,32 @@ pipe = pipeline("text-generation", model="open-r1/NormolLM-coder-7b-v02.12", tor
|
|
46 |
|
47 |
# We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
|
48 |
messages = [
|
49 |
-
{"role": "user", "content": "Write a python program to
|
50 |
]
|
51 |
prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
52 |
outputs = pipe(prompt, max_new_tokens=8000, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
|
53 |
print(outputs[0]["generated_text"])
|
54 |
#<|im_start|>user
|
55 |
-
#Write a python program to
|
56 |
#<|im_start|>assistant
|
57 |
#<think>Okay, I need to write a Python program that calculates the 10th Fibonacci number. Hmm, the Fibonacci sequence starts with 0 and 1. Each subsequent number is the sum of the two preceding ones. So the sequence goes: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, and so on. ...
|
58 |
-
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
46 |
|
47 |
# We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
|
48 |
messages = [
|
49 |
+
{"role": "user", "content": "Write a python program to calculate the 10th Fibonacci number"},
|
50 |
]
|
51 |
prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
|
52 |
outputs = pipe(prompt, max_new_tokens=8000, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
|
53 |
print(outputs[0]["generated_text"])
|
54 |
#<|im_start|>user
|
55 |
+
#Write a python program to calculate the 10th fibonacci number<|im_end|>
|
56 |
#<|im_start|>assistant
|
57 |
#<think>Okay, I need to write a Python program that calculates the 10th Fibonacci number. Hmm, the Fibonacci sequence starts with 0 and 1. Each subsequent number is the sum of the two preceding ones. So the sequence goes: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, and so on. ...
|
58 |
+
```
|
59 |
+
|
60 |
+
|
61 |
+
## Training procedure
|
62 |
+
### Training hyper-parameters
|
63 |
+
The following hyperparameters were used during training:
|
64 |
+
|
65 |
+
learning_rate: 4.0e-5
|
66 |
+
train_batch_size: 2
|
67 |
+
seed: 42
|
68 |
+
packing: false
|
69 |
+
distributed_type: deepspeed-zero-3
|
70 |
+
num_devices: 8
|
71 |
+
gradient_accumulation_steps: 8
|
72 |
+
total_train_batch_size: 16
|
73 |
+
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
74 |
+
lr_scheduler_type: cosine_with_min_lr
|
75 |
+
min_lr_rate: 0.1
|
76 |
+
lr_scheduler_warmup_ratio: 0.03
|
77 |
+
num_epochs: 10.0
|