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Model: sid172002/deepseek-math-7b-3epoch-678k-fullft Source: Original Platform
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README.md
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README.md
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---
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language: en
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license: apache-2.0
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library_name: transformers
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base_model: deepseek-ai/deepseek-math-7b-base
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tags:
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- mathematics
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- math
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- reasoning
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- deepseek
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- fine-tuned
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- llama
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- causal-lm
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- competition-math
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- gsm8k
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- numinamath
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- metamath
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- aime
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- amc
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- olympiad
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datasets:
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- AI-MO/NuminaMath-CoT
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- meta-math/MetaMathQA
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- HuggingFaceH4/MATH-Train
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metrics:
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- accuracy
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- perplexity
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model-index:
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- name: deepseek-math-7b-3epoch-678k-fullft
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results:
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- task:
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type: text-generation
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name: Mathematical Reasoning
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dataset:
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type: gsm8k
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name: GSM8K
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metrics:
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- type: accuracy
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value: 82.0
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pipeline_tag: text-generation
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inference: true
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---
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# 🚀 DeepSeek Math 7B - Full Fine-tune
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[](.)
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[](.)
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**Model ID:** `sid172002/deepseek-math-7b-3epoch-678k-fullft`
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Fully fine-tuned DeepSeek Math 7B on 678K high-quality math problems. **+17.8% improvement** over base model on GSM8K (64.2% → 82.0%).
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## 📊 Quick Stats
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| Metric | Value |
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|--------|-------|
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| Parameters | 7 Billion |
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| Training Steps | 63,609 |
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| Epochs | 3.0 |
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| Dataset Size | 678,494 samples |
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| GSM8K Score | **82.0%** |
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| Training Loss | 0.6394 |
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| Eval Loss | 0.6411 |
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## 🏆 Benchmarks
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| Benchmark | Score | Base | Improvement |
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|-----------|-------|------|-------------|
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| **GSM8K** | **82.0%** | 64.2% | **+17.8%** |
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| **MathBench** | **92.0%** | ~70% | **+22%** |
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| **MMLU** | Pending | - | Leaderboard Eval |
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| **MATH** | TBD | 33.2% | In Progress |
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## 💻 Quick Start
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained(
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"sid172002/deepseek-math-7b-3epoch-678k-fullft",
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torch_dtype=torch.bfloat16,
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device_map="auto",
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trust_remote_code=True
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)
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tokenizer = AutoTokenizer.from_pretrained(
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"sid172002/deepseek-math-7b-3epoch-678k-fullft",
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trust_remote_code=True
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)
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# Solve math problem
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problem = "What is 2x + 5 = 13?"
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prompt = f"Solve step by step:\n\n{problem}\n\nSolution:\n"
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs, max_new_tokens=256)
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print(tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:], skip_special_tokens=True))
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benchmark_results/frontier_math_2026-03-03.json
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benchmark_results/frontier_math_2026-03-03.json
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{
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"model": "sid172002/deepseek-math-7b-3epoch-678k-fullft",
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"timestamp": "2026-03-03T05:20:25.478377",
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"tier_scores": {
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"GSM8K": 57.0,
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"MATH": 53.0,
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"AIME": 0.0,
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"Olympiad": 20.0
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},
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"average": 32.5
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}
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chat_template.jinja
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chat_template.jinja
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{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ 'User: ' + message['content'] + '
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' }}{% elif message['role'] == 'assistant' %}{{ 'Assistant: ' + message['content'] + eos_token }}{% elif message['role'] == 'system' %}{{ message['content'] + '
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' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}
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config.json
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config.json
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||||
{
|
||||
"bos_token": {
|
||||
"content": "<｜begin▁of▁sentence｜>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<｜end▁of▁sentence｜>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|PAD_TOKEN|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
499209
tokenizer.json
Normal file
499209
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
49
tokenizer_config.json
Normal file
49
tokenizer_config.json
Normal file
@@ -0,0 +1,49 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"add_prefix_space": null,
|
||||
"added_tokens_decoder": {
|
||||
"100000": {
|
||||
"content": "<｜begin▁of▁sentence｜>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100001": {
|
||||
"content": "<｜end▁of▁sentence｜>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"100002": {
|
||||
"content": "<|PAD_TOKEN|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"bos_token": "<｜begin▁of▁sentence｜>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<｜end▁of▁sentence｜>",
|
||||
"extra_special_tokens": {},
|
||||
"legacy": true,
|
||||
"max_length": 2048,
|
||||
"model_max_length": 4096,
|
||||
"pad_to_multiple_of": null,
|
||||
"pad_token": "<|PAD_TOKEN|>",
|
||||
"pad_token_type_id": 0,
|
||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"stride": 0,
|
||||
"tokenizer_class": "LlamaTokenizerFast",
|
||||
"truncation_side": "right",
|
||||
"truncation_strategy": "longest_first",
|
||||
"unk_token": null,
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
9970
trainer_state.json
Normal file
9970
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:bb226c1e86db7fdd8cfae23fe16b5ad44f5a0c9fae2a2e72716abaa29e43cfb4
|
||||
size 6225
|
||||
Reference in New Issue
Block a user