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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_0_75
+  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_0_75
+
+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_0_75 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5439
+- Rewards/chosen: 1.0617
+- Rewards/rejected: -1.0230
+- Rewards/accuracies: 0.7292
+- Rewards/margins: 2.0847
+- Logps/rejected: -221.4094
+- Logps/chosen: -257.3853
+- Logits/rejected: -2.2898
+- Logits/chosen: -2.2986
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5811        | 0.7463 | 50   | 0.5699          | 0.5697         | -0.6122          | 0.7333             | 1.1819          | -217.3008      | -262.3048    | -2.3887         | -2.3796       |
+| 0.2898        | 1.4925 | 100  | 0.5633          | 1.2446         | -0.5551          | 0.7583             | 1.7998          | -216.7303      | -255.5556    | -2.4747         | -2.4717       |
+| 0.131         | 2.2388 | 150  | 0.5345          | 1.2941         | -0.7142          | 0.7625             | 2.0083          | -218.3207      | -255.0607    | -2.3181         | -2.3241       |
+| 0.1357        | 2.9851 | 200  | 0.5440          | 1.0620         | -1.0267          | 0.7333             | 2.0886          | -221.4456      | -257.3822    | -2.2899         | -2.2988       |
+
+
+### 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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+{
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+  "<pad>": 32001
+}

all_results.json

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+{
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+    "eval_logits/chosen": -2.2986156940460205,
+    "eval_logits/rejected": -2.289750814437866,
+    "eval_logps/chosen": -257.38525390625,
+    "eval_logps/rejected": -221.40939331054688,
+    "eval_loss": 0.54385906457901,
+    "eval_rewards/accuracies": 0.7291666865348816,
+    "eval_rewards/chosen": 1.061666488647461,
+    "eval_rewards/margins": 2.0847039222717285,
+    "eval_rewards/rejected": -1.023037314414978,
+    "eval_runtime": 125.2796,
+    "eval_samples_per_second": 15.166,
+    "eval_steps_per_second": 0.239,
+    "total_flos": 2369906314051584.0,
+    "train_loss": 0.32917294554894244,
+    "train_runtime": 7373.939,
+    "train_samples_per_second": 6.954,
+    "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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+  "torch_dtype": "bfloat16",
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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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+  "eos_token_id": 2,
+  "transformers_version": "4.45.2"
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@@ -0,0 +1,52 @@
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