Model save

README.md

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+---
+library_name: transformers
+license: llama3.2
+base_model: tanliboy/llama-3.2-3b-sft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: llama-3.2-3b-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. -->
+
+# llama-3.2-3b-dpo
+
+This model is a fine-tuned version of [tanliboy/llama-3.2-3b-sft](https://huggingface.co/tanliboy/llama-3.2-3b-sft) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4864
+- Rewards/chosen: -1.4549
+- Rewards/rejected: -2.6071
+- Rewards/accuracies: 0.7247
+- Rewards/margins: 1.1522
+- Logps/rejected: -560.2480
+- Logps/chosen: -483.4225
+- Logits/rejected: 0.5181
+- Logits/chosen: 0.3637
+
+## 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: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- total_eval_batch_size: 32
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6115        | 0.1741 | 100  | 0.6000          | -0.3357        | -0.5534          | 0.6329             | 0.2176          | -354.8722      | -371.5030    | 0.8149          | 0.6445        |
+| 0.5416        | 0.3483 | 200  | 0.5221          | -1.2141        | -1.9406          | 0.6741             | 0.7265          | -493.5951      | -459.3420    | 0.6298          | 0.4810        |
+| 0.5158        | 0.5224 | 300  | 0.5048          | -1.3617        | -2.3705          | 0.7057             | 1.0088          | -536.5855      | -474.1037    | 0.4784          | 0.3320        |
+| 0.501         | 0.6966 | 400  | 0.4906          | -1.4306        | -2.5214          | 0.7152             | 1.0908          | -551.6774      | -480.9883    | 0.5108          | 0.3615        |
+| 0.4806        | 0.8707 | 500  | 0.4864          | -1.4549        | -2.6071          | 0.7247             | 1.1522          | -560.2480      | -483.4225    | 0.5181          | 0.3637        |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 0.999564649542882,
+    "total_flos": 0.0,
+    "train_loss": 0.5408797243330952,
+    "train_runtime": 4250.8819,
+    "train_samples": 73493,
+    "train_samples_per_second": 17.289,
+    "train_steps_per_second": 0.135
+}

config.json

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+{
+  "_name_or_path": "tanliboy/llama-3.2-3b-sft",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 24,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "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": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.2",
+  "use_cache": false,
+  "vocab_size": 128256
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.44.2"
+}

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