Add HuggingFaceH4/mistral-7b-dpo-v21.0cai.3.2 checkpoint

README.md

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+---
+license: apache-2.0
+base_model: HuggingFaceH4/mistral-7b-cai
+tags:
+- alignment-handbook
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/ultrafeedback_binarized_fixed
+- HuggingFaceH4/cai-conversation-harmless
+model-index:
+- name: mistral-7b-dpo-v21.0cai.3.2
+  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. -->
+
+# mistral-7b-dpo-v21.0cai.3.2
+
+This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-cai](https://huggingface.co/HuggingFaceH4/mistral-7b-cai) on the HuggingFaceH4/ultrafeedback_binarized_fixed and the HuggingFaceH4/cai-conversation-harmless datasets.
+It achieves the following results on the evaluation set:
+- Loss: 0.0325
+- Rewards/chosen: -2.0301
+- Rewards/rejected: -14.1365
+- Rewards/accuracies: 0.9614
+- Rewards/margins: 12.1064
+- Logps/rejected: -376.8531
+- Logps/chosen: -278.2639
+- Logits/rejected: -2.2965
+- Logits/chosen: -2.3500
+
+## 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: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 16
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

all_results.json

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+{
+    "epoch": 3.0,
+    "eval_logits/chosen": -2.35003924369812,
+    "eval_logits/rejected": -2.296473503112793,
+    "eval_logps/chosen": -278.26385498046875,
+    "eval_logps/rejected": -376.85308837890625,
+    "eval_loss": 0.03253357484936714,
+    "eval_rewards/accuracies": 0.9613811373710632,
+    "eval_rewards/chosen": -2.0301272869110107,
+    "eval_rewards/margins": 12.106389045715332,
+    "eval_rewards/rejected": -14.136518478393555,
+    "eval_runtime": 2927.9433,
+    "eval_samples": 3156,
+    "eval_samples_per_second": 22.703,
+    "eval_steps_per_second": 0.355,
+    "train_loss": 0.2383290374584692,
+    "train_runtime": 16014.0387,
+    "train_samples": 64345,
+    "train_samples_per_second": 11.855,
+    "train_steps_per_second": 0.741
+}

config.json

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+{
+  "_name_or_path": "HuggingFaceH4/mistral-7b-cai",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

eval_results.json

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+{
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+    "eval_logits/chosen": -2.35003924369812,
+    "eval_logits/rejected": -2.296473503112793,
+    "eval_logps/chosen": -278.26385498046875,
+    "eval_logps/rejected": -376.85308837890625,
+    "eval_loss": 0.03253357484936714,
+    "eval_rewards/accuracies": 0.9613811373710632,
+    "eval_rewards/chosen": -2.0301272869110107,
+    "eval_rewards/margins": 12.106389045715332,
+    "eval_rewards/rejected": -14.136518478393555,
+    "eval_runtime": 2927.9433,
+    "eval_samples": 3156,
+    "eval_samples_per_second": 22.703,
+    "eval_steps_per_second": 0.355
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.36.2"
+}

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