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README.md

@@ -1,3 +1,61 @@
----
-license: mit
----
+---
+license: llama3
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+tags:
+- alignment-handbook
+- generated_from_trainer
+datasets:
+- princeton-nlp/llama3-ultrafeedback
+model-index:
+- name: llama-3-8b-instruct-simpo
+  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-3-8b-instruct-simpo
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the princeton-nlp/llama3-ultrafeedback dataset.
+
+## 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-06
+- train_batch_size: 2
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 16
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 256
+- 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: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+rocm6.0
+- Datasets 2.19.2
+- Tokenizers 0.19.1

all_results.json

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+    "eval_logits/rejected": 0.24551750719547272,
+    "eval_logps/chosen": -0.5973814725875854,
+    "eval_logps/rejected": -0.7979374527931213,
+    "eval_loss": 1.46084463596344,
+    "eval_rewards/accuracies": 0.6290322542190552,
+    "eval_rewards/chosen": -1.4934533834457397,
+    "eval_rewards/margins": 0.5013901591300964,
+    "eval_rewards/rejected": -1.9948437213897705,
+    "eval_runtime": 100.7391,
+    "eval_samples": 1961,
+    "eval_samples_per_second": 19.466,
+    "eval_steps_per_second": 0.308,
+    "total_flos": 0.0,
+    "train_loss": 1.5168422256779468,
+    "train_runtime": 9435.3453,
+    "train_samples": 59876,
+    "train_samples_per_second": 6.346,
+    "train_steps_per_second": 0.025
+}

config.json

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+{
+  "_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128009,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "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": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "vocab_size": 128256
+}

eval_results.json

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+    "eval_logits/rejected": 0.24551750719547272,
+    "eval_logps/chosen": -0.5973814725875854,
+    "eval_logps/rejected": -0.7979374527931213,
+    "eval_loss": 1.46084463596344,
+    "eval_rewards/accuracies": 0.6290322542190552,
+    "eval_rewards/chosen": -1.4934533834457397,
+    "eval_rewards/margins": 0.5013901591300964,
+    "eval_rewards/rejected": -1.9948437213897705,
+    "eval_runtime": 100.7391,
+    "eval_samples": 1961,
+    "eval_samples_per_second": 19.466,
+    "eval_steps_per_second": 0.308
+}

generation_config.json

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+  "do_sample": true,
+  "eos_token_id": [
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+    128009
+  ],
+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.41.2"
+}

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special_tokens_map.json

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tokenizer_config.json

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train_results.json

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