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Model: m-a-p/CriticLeanGPT-Qwen2.5-14B-Instruct-SFT
Source: Original Platform

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README.md

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+---
+library_name: transformers
+license: other
+base_model: Qwen2.5-14B-Instruct
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: Qwen2.5-14B-Instruct-critic_lean_mix_48k
+  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. -->
+
+# Qwen2.5-14B-Instruct-critic_lean_mix_48k
+
+This model is a fine-tuned version of [Qwen2.5-14B-Instruct](https://huggingface.co/Qwen2.5-14B-Instruct) on the critic_lean_mix_48k dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2970
+
+## 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: 2
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 16
+- total_train_batch_size: 32
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.348         | 1.0   | 1485 | 0.2822          |
+| 0.2655        | 2.0   | 2970 | 0.2750          |
+| 0.1382        | 3.0   | 4455 | 0.2970          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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all_results.json

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+    "epoch": 3.0,
+    "eval_loss": 0.29699257016181946,
+    "eval_runtime": 15.9659,
+    "eval_samples_per_second": 30.064,
+    "eval_steps_per_second": 1.879,
+    "tflops": 0.07104939945192446,
+    "token/s": 964.1313936883596,
+    "total_flos": 940586567729152.0,
+    "train_loss": 0.23212839591115145,
+    "train_runtime": 12724.6535,
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+    "train_steps_per_second": 0.35
+}

config.json

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+{
+  "_name_or_path": "Qwen2.5-14B-Instruct",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 70,
+  "model_type": "qwen2",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.2",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

configuration.json

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eval_results.json

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+    "eval_loss": 0.29699257016181946,
+    "eval_runtime": 15.9659,
+    "eval_samples_per_second": 30.064,
+    "eval_steps_per_second": 1.879
+}

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+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.44.2"
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