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Model: formalmathatepfl/deepseek-prover-v2-cpt-sft-feedback-1e
Source: Original Platform

.gitattributes

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README.md

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+---
+library_name: transformers
+license: other
+base_model: deepseek-ai/DeepSeek-Prover-V2-7B
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: deepseek-prover-v2-7b-lean-cpt-sft-feedback-32k
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# deepseek-prover-v2-7b-lean-cpt-sft-feedback-32k
+
+This model is a fine-tuned version of [deepseek-ai/DeepSeek-Prover-V2-7B](https://huggingface.co/deepseek-ai/DeepSeek-Prover-V2-7B) on the lean_sft_feedback dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0217
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 16
+- total_eval_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 0.0399        | 0.0827 | 1000  | 0.0343          |
+| 0.0261        | 0.1654 | 2000  | 0.0284          |
+| 0.0283        | 0.2481 | 3000  | 0.0264          |
+| 0.0228        | 0.3308 | 4000  | 0.0250          |
+| 0.0215        | 0.4135 | 5000  | 0.0242          |
+| 0.0216        | 0.4962 | 6000  | 0.0235          |
+| 0.0228        | 0.5789 | 7000  | 0.0229          |
+| 0.0214        | 0.6616 | 8000  | 0.0225          |
+| 0.0232        | 0.7444 | 9000  | 0.0221          |
+| 0.0205        | 0.8271 | 10000 | 0.0219          |
+| 0.0214        | 0.9098 | 11000 | 0.0218          |
+| 0.0241        | 0.9925 | 12000 | 0.0217          |
+
+
+### Framework versions
+
+- Transformers 4.57.3
+- Pytorch 2.9.0+cu129
+- Datasets 3.6.0
+- Tokenizers 0.22.1

all_results.json

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+{
+    "epoch": 1.0,
+    "eval_loss": 0.021731186658143997,
+    "eval_runtime": 1220.9768,
+    "eval_samples_per_second": 4.913,
+    "eval_steps_per_second": 0.307,
+    "total_flos": 2.46882716505537e+20,
+    "train_loss": 0.04353406456638118,
+    "train_runtime": 186963.3453,
+    "train_samples_per_second": 1.035,
+    "train_steps_per_second": 0.065
+}

chat_template.jinja

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+{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='', is_first_sp=true, is_last_user=false) %}{%- for message in messages %}{%- if message['role'] == 'system' %}{%- if ns.is_first_sp %}{% set ns.system_prompt = ns.system_prompt + message['content'] %}{% set ns.is_first_sp = false %}{%- else %}{% set ns.system_prompt = ns.system_prompt + '
+
+' + message['content'] %}{%- endif %}{%- endif %}{%- endfor %}{{ bos_token }}{{ ns.system_prompt }}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{%- set ns.is_first = false -%}{%- set ns.is_last_user = true -%}{{'<｜User｜>' + message['content'] + '<｜Assistant｜>'}}{%- endif %}{%- if message['role'] == 'assistant' and message['tool_calls'] is defined and message['tool_calls'] is not none %}{%- set ns.is_last_user = false -%}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{%- endif %}{%- set ns.is_first = false %}{%- set ns.is_tool = false -%}{%- set ns.is_output_first = true %}{%- for tool in message['tool_calls'] %}{%- if not ns.is_first %}{%- if message['content'] is none %}{{'<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '
+' + '```json' + '
+' + tool['function']['arguments'] + '
+' + '```' + '<｜tool▁call▁end｜>'}}{%- else %}{{message['content'] + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '
+' + '```json' + '
+' + tool['function']['arguments'] + '
+' + '```' + '<｜tool▁call▁end｜>'}}{%- endif %}{%- set ns.is_first = true -%}{%- else %}{{'
+' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '
+' + '```json' + '
+' + tool['function']['arguments'] + '
+' + '```' + '<｜tool▁call▁end｜>'}}{%- endif %}{%- endfor %}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- if message['role'] == 'assistant' and (message['tool_calls'] is not defined or message['tool_calls'] is none)%}{%- set ns.is_last_user = false -%}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{{content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_last_user = false -%}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'
+<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_last_user and not ns.is_tool %}{{'<｜Assistant｜>'}}{% endif %}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 100000,
+  "dtype": "bfloat16",
+  "eos_token_id": 100001,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 65536,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 30,
+  "num_key_value_heads": 32,
+  "pad_token_id": 100001,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": {
+    "beta_fast": 32,
+    "beta_slow": 1,
+    "factor": 16,
+    "mscale": true,
+    "original_max_position_embeddings": 4096,
+    "rope_type": "yarn",
+    "type": "yarn"
+  },
+  "rope_theta": 10000,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.3",
+  "use_cache": false,
+  "vocab_size": 102400
+}

eval_results.json

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+{
+    "epoch": 1.0,
+    "eval_loss": 0.021731186658143997,
+    "eval_runtime": 1220.9768,
+    "eval_samples_per_second": 4.913,
+    "eval_steps_per_second": 0.307
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 100000,
+  "eos_token_id": [
+    100001
+  ],
+  "pad_token_id": 100001,
+  "transformers_version": "4.57.3",
+  "use_cache": false
+}

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special_tokens_map.json

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tokenizer_config.json

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train_results.json

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+}

training_args.bin

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