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Model: li-muyang/zephyr-7b-gemma-dpo
Source: Original Platform

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README.md

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+---
+library_name: transformers
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: zephyr-7b-gemma-dpo
+  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. -->
+
+# zephyr-7b-gemma-dpo
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5287
+- Rewards/chosen: 0.4753
+- Rewards/rejected: -0.1181
+- Rewards/accuracies: 0.7708
+- Rewards/margins: 0.5934
+- Logps/rejected: -326.4217
+- Logps/chosen: -277.1591
+- Logits/rejected: -1.3248
+- Logits/chosen: -1.3362
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5532        | 0.9858 | 52   | 0.5591          | 0.4980         | 0.0692           | 0.7604             | 0.4288          | -322.6760      | -276.7043    | -1.3205         | -1.3316       |
+| 0.4562        | 1.9716 | 104  | 0.5287          | 0.4753         | -0.1181          | 0.7708             | 0.5934          | -326.4217      | -277.1591    | -1.3248         | -1.3362       |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.5.1+rocm6.2
+- Datasets 3.2.0
+- Tokenizers 0.20.3

all_results.json

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+{
+    "epoch": 1.971563981042654,
+    "total_flos": 0.0,
+    "train_loss": 0.5530139460013463,
+    "train_runtime": 7803.0424,
+    "train_samples": 6750,
+    "train_samples_per_second": 1.73,
+    "train_steps_per_second": 0.013
+}

config.json

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+{
+  "_name_or_path": "/scratch/pawsey0935/tliu1/alignment-handbook/rebuttal/llama8b_deita_sft/checkpoint-200",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
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+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.45.2",
+  "use_cache": false,
+  "vocab_size": 128256
+}

eval_results.json

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+    "eval_logits/chosen": 361.1391296386719,
+    "eval_logits/rejected": 364.19622802734375,
+    "eval_logps/chosen": -373.9752197265625,
+    "eval_logps/rejected": -463.1776123046875,
+    "eval_loss": 0.5127096176147461,
+    "eval_rewards/accuracies": 0.7446808218955994,
+    "eval_rewards/chosen": -2.441816806793213,
+    "eval_rewards/margins": 1.8080488443374634,
+    "eval_rewards/rejected": -4.2498650550842285,
+    "eval_runtime": 85.5361,
+    "eval_samples": 750,
+    "eval_samples_per_second": 8.768,
+    "eval_steps_per_second": 0.549
+}

generation_config.json

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+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": 128001,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.45.2"
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