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README.md

@@ -0,0 +1,77 @@
+---
+library_name: transformers
+license: other
+base_model: Qwen/Qwen2.5-Math-7B-Instruct
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: GenPRM-78k-train-5:5-decontamination
+  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. -->
+
+# GenPRM-78k-train-5:5-decontamination
+
+This model is a fine-tuned version of [/data1/model/Qwen2.5-Math-7B-Instruct](https://huggingface.co//data1/model/Qwen2.5-Math-7B-Instruct) on the GenPRM-78k-train-5:5-decontamination dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2910
+
+## 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: 5e-06
+- train_batch_size: 4
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.3951        | 0.0823 | 100  | 0.3771          |
+| 0.3471        | 0.1647 | 200  | 0.3431          |
+| 0.3295        | 0.2470 | 300  | 0.3266          |
+| 0.3162        | 0.3294 | 400  | 0.3161          |
+| 0.3143        | 0.4117 | 500  | 0.3084          |
+| 0.3054        | 0.4940 | 600  | 0.3029          |
+| 0.3031        | 0.5764 | 700  | 0.2985          |
+| 0.2988        | 0.6587 | 800  | 0.2953          |
+| 0.2965        | 0.7410 | 900  | 0.2932          |
+| 0.2935        | 0.8234 | 1000 | 0.2918          |
+| 0.2975        | 0.9057 | 1100 | 0.2911          |
+| 0.304         | 0.9881 | 1200 | 0.2910          |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.20.1

added_tokens.json

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all_results.json

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+{
+    "epoch": 0.9995883079456567,
+    "eval_loss": 0.2909594774246216,
+    "eval_runtime": 38.131,
+    "eval_samples_per_second": 52.451,
+    "eval_steps_per_second": 6.556,
+    "total_flos": 5.587165226987422e+18,
+    "train_loss": 0.332974739875982,
+    "train_runtime": 7444.239,
+    "train_samples_per_second": 10.439,
+    "train_steps_per_second": 0.163
+}

config.json

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+  "_name_or_path": "/data1/model/Qwen2.5-Math-7B-Instruct",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
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+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "max_position_embeddings": 4096,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.45.2",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

eval_results.json

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+    "eval_loss": 0.2909594774246216,
+    "eval_runtime": 38.131,
+    "eval_samples_per_second": 52.451,
+    "eval_steps_per_second": 6.556
+}

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+  "pad_token_id": 151643,
+  "transformers_version": "4.45.2"
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