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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_random_0_80
+  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_random_0_80
+
+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_random_0_80 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5567
+- Rewards/chosen: -0.0039
+- Rewards/rejected: -2.3714
+- Rewards/accuracies: 0.8021
+- Rewards/margins: 2.3675
+- Logps/rejected: -234.5394
+- Logps/chosen: -232.6765
+- Logits/rejected: -2.2685
+- Logits/chosen: -2.3031
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.576         | 0.4673 | 50   | 0.5725          | 0.8730         | -0.1201          | 0.7318             | 0.9931          | -212.0256      | -223.9073    | -2.4706         | -2.4964       |
+| 0.508         | 0.9346 | 100  | 0.5507          | -0.2081        | -1.7933          | 0.7865             | 1.5852          | -228.7584      | -234.7186    | -2.4439         | -2.4604       |
+| 0.2512        | 1.4019 | 150  | 0.5608          | 0.2020         | -1.8022          | 0.7865             | 2.0042          | -228.8469      | -230.6172    | -2.2977         | -2.3324       |
+| 0.3125        | 1.8692 | 200  | 0.5447          | 0.4722         | -1.5712          | 0.8099             | 2.0434          | -226.5372      | -227.9149    | -2.2994         | -2.3304       |
+| 0.1519        | 2.3364 | 250  | 0.5571          | 0.1894         | -2.0352          | 0.8047             | 2.2246          | -231.1766      | -230.7427    | -2.3302         | -2.3582       |
+| 0.1708        | 2.8037 | 300  | 0.5571          | 0.0000         | -2.3612          | 0.8073             | 2.3612          | -234.4372      | -232.6371    | -2.2672         | -2.3019       |
+
+
+### 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": -2.3030953407287598,
+    "eval_logits/rejected": -2.2684733867645264,
+    "eval_logps/chosen": -232.67649841308594,
+    "eval_logps/rejected": -234.53941345214844,
+    "eval_loss": 0.5567358136177063,
+    "eval_rewards/accuracies": 0.8020833134651184,
+    "eval_rewards/chosen": -0.00392953073605895,
+    "eval_rewards/margins": 2.367516040802002,
+    "eval_rewards/rejected": -2.371445655822754,
+    "eval_runtime": 202.0305,
+    "eval_samples_per_second": 15.047,
+    "eval_steps_per_second": 0.238,
+    "total_flos": 3785055088410624.0,
+    "train_loss": 0.33471281568859224,
+    "train_runtime": 12142.7038,
+    "train_samples_per_second": 6.758,
+    "train_steps_per_second": 0.026
+}

checkpoint-100/added_tokens.json

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