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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_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_l0_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_l0_0_75 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5643
+- Rewards/chosen: 1.3942
+- Rewards/rejected: -0.7947
+- Rewards/accuracies: 0.8000
+- Rewards/margins: 2.1889
+- Logps/rejected: -224.1609
+- Logps/chosen: -246.0838
+- Logits/rejected: -2.3264
+- Logits/chosen: -2.3596
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5946        | 0.7463 | 50   | 0.5850          | 1.2899         | -0.0802          | 0.7333             | 1.3701          | -217.0163      | -247.1266    | -2.3881         | -2.4191       |
+| 0.255         | 1.4925 | 100  | 0.5857          | 1.4526         | -0.5760          | 0.7958             | 2.0286          | -221.9741      | -245.4996    | -2.4099         | -2.4342       |
+| 0.1492        | 2.2388 | 150  | 0.5706          | 1.4938         | -0.5466          | 0.7917             | 2.0403          | -221.6795      | -245.0877    | -2.3284         | -2.3634       |
+| 0.1536        | 2.9851 | 200  | 0.5642          | 1.3949         | -0.7954          | 0.7917             | 2.1903          | -224.1678      | -246.0766    | -2.3262         | -2.3595       |
+
+
+### 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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+{
+    "epoch": 3.0,
+    "eval_logits/chosen": -2.359645366668701,
+    "eval_logits/rejected": -2.326366901397705,
+    "eval_logps/chosen": -246.08377075195312,
+    "eval_logps/rejected": -224.16087341308594,
+    "eval_loss": 0.564285397529602,
+    "eval_rewards/accuracies": 0.800000011920929,
+    "eval_rewards/chosen": 1.394153356552124,
+    "eval_rewards/margins": 2.1888556480407715,
+    "eval_rewards/rejected": -0.794702410697937,
+    "eval_runtime": 125.4778,
+    "eval_samples_per_second": 15.142,
+    "eval_steps_per_second": 0.239,
+    "total_flos": 2369906314051584.0,
+    "train_loss": 0.34582118860524685,
+    "train_runtime": 7382.5383,
+    "train_samples_per_second": 6.946,
+    "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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+  "eos_token_id": 2,
+  "transformers_version": "4.45.2"
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@@ -0,0 +1,52 @@
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