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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_cosi_new_step10_0_60
+  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_cosi_new_step10_0_60
+
+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_cosi_new_step10_0_60 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5341
+- Rewards/chosen: 1.2512
+- Rewards/rejected: -1.3631
+- Rewards/accuracies: 0.7951
+- Rewards/margins: 2.6143
+- Logps/rejected: -235.6757
+- Logps/chosen: -268.5645
+- Logits/rejected: -2.3102
+- Logits/chosen: -2.3523
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5451        | 0.6231 | 50   | 0.5847          | 1.2566         | 0.0476           | 0.7465             | 1.2091          | -221.5687      | -268.5103    | -2.4265         | -2.4445       |
+| 0.2411        | 1.2461 | 100  | 0.5331          | 1.0138         | -1.1612          | 0.7882             | 2.1750          | -233.6565      | -270.9385    | -2.5634         | -2.5859       |
+| 0.2838        | 1.8692 | 150  | 0.5178          | 1.2878         | -1.1255          | 0.7986             | 2.4133          | -233.2990      | -268.1986    | -2.3948         | -2.4266       |
+| 0.1415        | 2.4922 | 200  | 0.5325          | 1.3080         | -1.2671          | 0.8090             | 2.5751          | -234.7151      | -267.9961    | -2.3379         | -2.3777       |
+
+
+### 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": -2.3522794246673584,
+    "eval_logits/rejected": -2.310214042663574,
+    "eval_logps/chosen": -268.56451416015625,
+    "eval_logps/rejected": -235.67572021484375,
+    "eval_loss": 0.5341237187385559,
+    "eval_rewards/accuracies": 0.7951388955116272,
+    "eval_rewards/chosen": 1.2511848211288452,
+    "eval_rewards/margins": 2.614333152770996,
+    "eval_rewards/rejected": -1.3631482124328613,
+    "eval_runtime": 150.6354,
+    "eval_samples_per_second": 15.136,
+    "eval_steps_per_second": 0.239,
+    "total_flos": 2829829665718272.0,
+    "train_loss": 0.33247024814287823,
+    "train_runtime": 8773.941,
+    "train_samples_per_second": 7.014,
+    "train_steps_per_second": 0.027
+}

checkpoint-100/added_tokens.json

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+  "<pad>": 32001
+}

checkpoint-100/config.json

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+    "vocab_size": 32000
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+  "vision_feature_layer": -2,
+  "vision_feature_select_strategy": "default",
+  "vocab_size": 32064
+}

checkpoint-100/generation_config.json

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checkpoint-100/preprocessor_config.json

@@ -0,0 +1,52 @@
+{
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+    "width": 336
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+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_grid_pinpoints": [
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+    ],
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