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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_90
+  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_90
+
+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_90 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5233
+- Rewards/chosen: 0.7968
+- Rewards/rejected: -1.8577
+- Rewards/accuracies: 0.8218
+- Rewards/margins: 2.6545
+- Logps/rejected: -234.1042
+- Logps/chosen: -250.9109
+- Logits/rejected: -1.8912
+- Logits/chosen: -1.9506
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.4674        | 0.8230 | 100  | 0.4985          | 0.1779         | -1.6218          | 0.7940             | 1.7997          | -231.7454      | -257.0998    | -2.2566         | -2.2803       |
+| 0.2463        | 1.6461 | 200  | 0.5190          | 1.1459         | -1.2068          | 0.7963             | 2.3527          | -227.5959      | -247.4204    | -1.6292         | -1.7063       |
+| 0.1311        | 2.4691 | 300  | 0.5212          | 0.6944         | -1.9013          | 0.8194             | 2.5958          | -234.5411      | -251.9348    | -1.8631         | -1.9243       |
+
+
+### 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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+{
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+    "eval_logits/chosen": -1.9506410360336304,
+    "eval_logits/rejected": -1.891175389289856,
+    "eval_logps/chosen": -250.91085815429688,
+    "eval_logps/rejected": -234.10423278808594,
+    "eval_loss": 0.5232799053192139,
+    "eval_rewards/accuracies": 0.8217592835426331,
+    "eval_rewards/chosen": 0.7968389987945557,
+    "eval_rewards/margins": 2.6544954776763916,
+    "eval_rewards/rejected": -1.8576565980911255,
+    "eval_runtime": 227.7341,
+    "eval_samples_per_second": 15.176,
+    "eval_steps_per_second": 0.237,
+    "total_flos": 4280357159436288.0,
+    "train_loss": 0.30565077164941584,
+    "train_runtime": 13036.7565,
+    "train_samples_per_second": 7.158,
+    "train_steps_per_second": 0.028
+}

checkpoint-100/added_tokens.json

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+{
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+  "<pad>": 32001
+}

checkpoint-100/config.json

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+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.45.2",
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+    "model_type": "clip_vision_model",
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+    "vocab_size": 32000
+  },
+  "vision_feature_layer": -2,
+  "vision_feature_select_strategy": "default",
+  "vocab_size": 32064
+}

checkpoint-100/generation_config.json

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+  "eos_token_id": 2,
+  "transformers_version": "4.45.2"
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@@ -0,0 +1,52 @@
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