Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen2.5-32B-Instruct
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: lambda-qwen2.5-32b-dpo-test
+  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. -->
+
+# lambda-qwen2.5-32b-dpo-test
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0004
+- Rewards/chosen: -10.0873
+- Rewards/rejected: -25.9319
+- Rewards/accuracies: 1.0
+- Rewards/margins: 15.8446
+- Logps/rejected: -3031.2175
+- Logps/chosen: -1365.4342
+- Logits/rejected: -0.2882
+- Logits/chosen: -0.0014
+
+## 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-07
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- 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: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.0103        | 0.2618 | 100  | 0.0060          | -8.5159        | -18.7731         | 1.0                | 10.2572         | -2315.3333     | -1208.2968   | -0.5485         | -0.2481       |
+| 0.0005        | 0.5236 | 200  | 0.0005          | -9.9255        | -24.9117         | 1.0                | 14.9862         | -2929.1948     | -1349.2588   | -0.3723         | -0.0661       |
+| 0.0005        | 0.7853 | 300  | 0.0004          | -10.0873       | -25.9319         | 1.0                | 15.8446         | -3031.2175     | -1365.4342   | -0.2882         | -0.0014       |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

added_tokens.json

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all_results.json

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+{
+    "epoch": 1.0,
+    "total_flos": 0.0,
+    "train_loss": 0.10807222205026247,
+    "train_runtime": 19238.6363,
+    "train_samples": 12216,
+    "train_samples_per_second": 0.635,
+    "train_steps_per_second": 0.02
+}

config.json

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+{
+  "_name_or_path": "Qwen/Qwen2.5-32B-Instruct",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
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+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 27648,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 70,
+  "model_type": "qwen2",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 64,
+  "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
+}

generation_config.json

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+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.44.2"
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+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
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+  "add_prefix_space": false,
+  "added_tokens_decoder": {
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+}

train_results.json

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trainer_state.json

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