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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_cocour_new_step10_0_70
+  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_cocour_new_step10_0_70
+
+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_cocour_new_step10_0_70 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5221
+- Rewards/chosen: 0.8511
+- Rewards/rejected: -1.7632
+- Rewards/accuracies: 0.7827
+- Rewards/margins: 2.6143
+- Logps/rejected: -233.5941
+- Logps/chosen: -246.8883
+- Logits/rejected: -2.2402
+- Logits/chosen: -2.2674
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5857        | 0.5348 | 50   | 0.5588          | 0.8626         | -0.4673          | 0.7202             | 1.3299          | -220.6345      | -246.7726    | -2.3950         | -2.4070       |
+| 0.2515        | 1.0695 | 100  | 0.5002          | 1.1633         | -0.7568          | 0.7827             | 1.9201          | -223.5298      | -243.7656    | -2.3802         | -2.3927       |
+| 0.2749        | 1.6043 | 150  | 0.5163          | 0.8806         | -1.4497          | 0.7738             | 2.3303          | -230.4583      | -246.5927    | -2.4269         | -2.4377       |
+| 0.148         | 2.1390 | 200  | 0.5244          | 1.0476         | -1.4591          | 0.7887             | 2.5067          | -230.5529      | -244.9229    | -2.2151         | -2.2425       |
+| 0.1437        | 2.6738 | 250  | 0.5224          | 0.8628         | -1.7441          | 0.7798             | 2.6069          | -233.4026      | -246.7709    | -2.2343         | -2.2617       |
+
+
+### 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": -2.267369270324707,
+    "eval_logits/rejected": -2.240177869796753,
+    "eval_logps/chosen": -246.88827514648438,
+    "eval_logps/rejected": -233.59410095214844,
+    "eval_loss": 0.5221481323242188,
+    "eval_rewards/accuracies": 0.7827380895614624,
+    "eval_rewards/chosen": 0.8510617017745972,
+    "eval_rewards/margins": 2.6143014430999756,
+    "eval_rewards/rejected": -1.763239860534668,
+    "eval_runtime": 178.6162,
+    "eval_samples_per_second": 14.892,
+    "eval_steps_per_second": 0.235,
+    "total_flos": 3289753017384960.0,
+    "train_loss": 0.3371215338775334,
+    "train_runtime": 10383.8324,
+    "train_samples_per_second": 6.914,
+    "train_steps_per_second": 0.027
+}

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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