Model save

README.md

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+---
+library_name: transformers
+license: llama3.1
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
+tags:
+- trl
+- cpo
+- generated_from_trainer
+model-index:
+- name: llama3.1-cpo-full-0912
+  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. -->
+
+# llama3.1-cpo-full-0912
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6007
+- Rewards/chosen: -15.6505
+- Rewards/rejected: -16.3448
+- Rewards/accuracies: 0.6370
+- Rewards/margins: 0.6943
+- Logps/rejected: -163.4479
+- Logps/chosen: -156.5048
+- Logits/rejected: -0.3811
+- Logits/chosen: -0.4072
+- Nll Loss: 0.4277
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- 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 | Nll Loss |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|
+| 1.9362        | 0.2311 | 100  | 1.7930          | -14.9339       | -15.2848         | 0.5761             | 0.3508          | -152.8475      | -149.3394    | -0.4123         | -0.4378       | 0.4067   |
+| 1.7019        | 0.4623 | 200  | 1.6786          | -15.4303       | -16.0131         | 0.6087             | 0.5828          | -160.1311      | -154.3027    | -0.3358         | -0.3580       | 0.4193   |
+| 1.6388        | 0.6934 | 300  | 1.6233          | -15.5465       | -16.2127         | 0.6130             | 0.6662          | -162.1269      | -155.4650    | -0.3582         | -0.3828       | 0.4230   |
+| 1.632         | 0.9246 | 400  | 1.6007          | -15.6505       | -16.3448         | 0.6370             | 0.6943          | -163.4479      | -156.5048    | -0.3811         | -0.4072       | 0.4277   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.3.1
+- Datasets 2.21.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 0.9985553308292401,
+    "total_flos": 0.0,
+    "train_loss": 1.77929983039697,
+    "train_runtime": 9807.604,
+    "train_samples": 55376,
+    "train_samples_per_second": 5.646,
+    "train_steps_per_second": 0.044
+}

config.json

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+{
+  "_name_or_path": "meta-llama/Meta-Llama-3.1-8B-Instruct",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "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": {
+    "factor": 8.0,
+    "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": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.2",
+  "use_cache": false,
+  "vocab_size": 128256
+}

generation_config.json

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+{
+  "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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+}

train_results.json

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trainer_state.json

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