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README.md

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+---
+library_name: transformers
+license: other
+base_model: llava-hf/llava-v1.6-mistral-7b-hf
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: AA_preference_Cherry_0_40
+  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. -->
+
+# AA_preference_Cherry_0_40
+
+This model is a fine-tuned version of [llava-hf/llava-v1.6-mistral-7b-hf](https://huggingface.co/llava-hf/llava-v1.6-mistral-7b-hf) on the AA_preference_Cherry_0_40 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5449
+- Rewards/chosen: 2.9584
+- Rewards/rejected: -0.1862
+- Rewards/accuracies: 0.8300
+- Rewards/margins: 3.1446
+- Logps/rejected: -260.6278
+- Logps/chosen: -298.7855
+- Logits/rejected: -1.9543
+- Logits/chosen: -1.9311
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 4
+- 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_steps: 10
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5108        | 0.7373 | 40   | 0.4996          | 2.8014         | 0.7843           | 0.8000             | 2.0171          | -250.9224      | -300.3552    | -1.8153         | -1.8277       |
+| 0.1548        | 1.4747 | 80   | 0.5516          | 2.5892         | -0.3111          | 0.8150             | 2.9003          | -261.8770      | -302.4771    | -1.7896         | -1.7813       |
+| 0.0739        | 2.2120 | 120  | 0.5419          | 2.8910         | -0.1778          | 0.8150             | 3.0689          | -260.5441      | -299.4589    | -2.0237         | -1.9931       |
+| 0.0785        | 2.9493 | 160  | 0.5450          | 2.9577         | -0.1873          | 0.8250             | 3.1451          | -260.6390      | -298.7917    | -1.9546         | -1.9315       |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.20.3

added_tokens.json

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+  "<pad>": 32001
+}

all_results.json

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+{
+    "epoch": 2.986175115207373,
+    "eval_logits/chosen": -1.9310764074325562,
+    "eval_logits/rejected": -1.954269289970398,
+    "eval_logps/chosen": -298.78546142578125,
+    "eval_logps/rejected": -260.6278381347656,
+    "eval_loss": 0.544903576374054,
+    "eval_rewards/accuracies": 0.8299999833106995,
+    "eval_rewards/chosen": 2.958364963531494,
+    "eval_rewards/margins": 3.1445722579956055,
+    "eval_rewards/rejected": -0.18620729446411133,
+    "eval_runtime": 104.2849,
+    "eval_samples_per_second": 14.738,
+    "eval_steps_per_second": 0.24,
+    "total_flos": 1909982962384896.0,
+    "train_loss": 0.24334129419775657,
+    "train_runtime": 6038.8466,
+    "train_samples_per_second": 6.87,
+    "train_steps_per_second": 0.027
+}

config.json

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+{
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+  "architectures": [
+    "LlavaNextForConditionalGeneration"
+  ],
+  "hidden_size": 4096,
+  "ignore_index": -100,
+  "image_grid_pinpoints": [
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+  "image_token_index": 32000,
+  "model_type": "llava_next",
+  "projector_hidden_act": "gelu",
+  "text_config": {
+    "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
+    "architectures": [
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+    "max_position_embeddings": 32768,
+    "model_type": "mistral",
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+    "torch_dtype": "bfloat16",
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+  "torch_dtype": "bfloat16",
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+  "vision_config": {
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+    "vocab_size": 32000
+  },
+  "vision_feature_layer": -2,
+  "vision_feature_select_strategy": "default",
+  "vocab_size": 32064
+}

eval_results.json

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+    "eval_loss": 0.544903576374054,
+    "eval_rewards/accuracies": 0.8299999833106995,
+    "eval_rewards/chosen": 2.958364963531494,
+    "eval_rewards/margins": 3.1445722579956055,
+    "eval_rewards/rejected": -0.18620729446411133,
+    "eval_runtime": 104.2849,
+    "eval_samples_per_second": 14.738,
+    "eval_steps_per_second": 0.24
+}

generation_config.json

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+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.45.2"
+}

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special_tokens_map.json

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