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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_l0_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_l0_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_l0_new_step10_0_70 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5015
+- Rewards/chosen: 0.2932
+- Rewards/rejected: -2.5932
+- Rewards/accuracies: 0.8274
+- Rewards/margins: 2.8864
+- Logps/rejected: -244.7975
+- Logps/chosen: -248.1062
+- Logits/rejected: -2.1491
+- Logits/chosen: -2.2057
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5372        | 0.5348 | 50   | 0.5589          | 0.8885         | -0.7687          | 0.7708             | 1.6573          | -226.5533      | -242.1535    | -2.5558         | -2.5652       |
+| 0.2535        | 1.0695 | 100  | 0.5072          | 0.6618         | -1.4593          | 0.8155             | 2.1211          | -233.4590      | -244.4205    | -2.3160         | -2.3489       |
+| 0.2927        | 1.6043 | 150  | 0.5305          | 0.2199         | -2.4527          | 0.8065             | 2.6726          | -243.3929      | -248.8394    | -2.2493         | -2.2896       |
+| 0.1722        | 2.1390 | 200  | 0.4972          | 0.5435         | -2.1567          | 0.8304             | 2.7003          | -240.4332      | -245.6031    | -2.1267         | -2.1841       |
+| 0.1412        | 2.6738 | 250  | 0.5014          | 0.2961         | -2.5802          | 0.8214             | 2.8763          | -244.6681      | -248.0778    | -2.1488         | -2.2053       |
+
+
+### 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": -2.2057065963745117,
+    "eval_logits/rejected": -2.149101972579956,
+    "eval_logps/chosen": -248.10618591308594,
+    "eval_logps/rejected": -244.79750061035156,
+    "eval_loss": 0.5014801621437073,
+    "eval_rewards/accuracies": 0.8273809552192688,
+    "eval_rewards/chosen": 0.29323506355285645,
+    "eval_rewards/margins": 2.8863983154296875,
+    "eval_rewards/rejected": -2.593163251876831,
+    "eval_runtime": 179.2613,
+    "eval_samples_per_second": 14.839,
+    "eval_steps_per_second": 0.234,
+    "total_flos": 3289753017384960.0,
+    "train_loss": 0.3353286673945765,
+    "train_runtime": 10412.0978,
+    "train_samples_per_second": 6.896,
+    "train_steps_per_second": 0.027
+}

checkpoint-100/added_tokens.json

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checkpoint-100/config.json

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