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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,73 @@
+---
+library_name: transformers
+license: other
+base_model: Qwen/Qwen2.5-0.5B-Instruct
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: reranker_binary_filt_train
+  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. -->
+
+# reranker_binary_filt_train
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the reranker_binary_filt_train dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0526
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 8
+- total_eval_batch_size: 8
+- optimizer: Use 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: 0.01
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 0.0517        | 0.1000 | 1937  | 0.0871          |
+| 0.114         | 0.2001 | 3874  | 0.0835          |
+| 0.1033        | 0.3001 | 5811  | 0.0735          |
+| 0.0544        | 0.4001 | 7748  | 0.0663          |
+| 0.1169        | 0.5001 | 9685  | 0.0623          |
+| 0.05          | 0.6002 | 11622 | 0.0599          |
+| 0.0951        | 0.7002 | 13559 | 0.0566          |
+| 0.0497        | 0.8002 | 15496 | 0.0551          |
+| 0.1002        | 0.9002 | 17433 | 0.0532          |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.4.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

added_tokens.json

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+}

all_results.json

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+{
+    "epoch": 1.0,
+    "eval_loss": 0.05255785211920738,
+    "eval_runtime": 34.2049,
+    "eval_samples_per_second": 45.754,
+    "eval_steps_per_second": 5.73,
+    "total_flos": 2.725260927518638e+18,
+    "train_loss": 0.07305596203520642,
+    "train_runtime": 19013.0111,
+    "train_samples_per_second": 8.148,
+    "train_steps_per_second": 1.019
+}

config.json

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+{
+  "_name_or_path": "Qwen/Qwen2.5-0.5B-Instruct",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 896,
+  "initializer_range": 0.02,
+  "intermediate_size": 4864,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 14,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.1",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

eval_results.json

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+    "epoch": 1.0,
+    "eval_loss": 0.05255785211920738,
+    "eval_runtime": 34.2049,
+    "eval_samples_per_second": 45.754,
+    "eval_steps_per_second": 5.73
+}

generation_config.json

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+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.46.1"
+}

model.safetensors

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special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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+}

train_results.json

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+    "train_steps_per_second": 1.019
+}

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