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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: RLAIF-V-Coccur-q0_25_preference
+  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. -->
+
+# RLAIF-V-Coccur-q0_25_preference
+
+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 RLAIF-V-Coccur-q0_25_preference dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5440
+- Rewards/chosen: -2.3911
+- Rewards/rejected: -4.1460
+- Rewards/accuracies: 0.7188
+- Rewards/margins: 1.7550
+- Logps/rejected: -201.5194
+- Logps/chosen: -183.7933
+- Logits/rejected: -2.7049
+- Logits/chosen: -2.7311
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5904        | 0.6944 | 50   | 0.5585          | 0.1767         | -0.5308          | 0.6953             | 0.7075          | -165.3675      | -158.1156    | -2.7400         | -2.7505       |
+| 0.2124        | 1.3889 | 100  | 0.5330          | -0.9785        | -2.2414          | 0.7344             | 1.2630          | -182.4733      | -169.6674    | -2.6846         | -2.7028       |
+| 0.1027        | 2.0833 | 150  | 0.5209          | -1.3289        | -2.7382          | 0.7305             | 1.4093          | -187.4415      | -173.1719    | -2.7648         | -2.7841       |
+| 0.0793        | 2.7778 | 200  | 0.5435          | -2.3758        | -4.1313          | 0.7227             | 1.7554          | -201.3717      | -183.6412    | -2.7055         | -2.7316       |
+
+
+### 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": -2.731050491333008,
+    "eval_logits/rejected": -2.7048842906951904,
+    "eval_logps/chosen": -183.7933349609375,
+    "eval_logps/rejected": -201.51939392089844,
+    "eval_loss": 0.5440468788146973,
+    "eval_rewards/accuracies": 0.71875,
+    "eval_rewards/chosen": -2.391056537628174,
+    "eval_rewards/margins": 1.7549664974212646,
+    "eval_rewards/rejected": -4.146022796630859,
+    "eval_runtime": 125.4394,
+    "eval_samples_per_second": 16.287,
+    "eval_steps_per_second": 0.255,
+    "total_flos": 2546799910846464.0,
+    "train_loss": 0.30356262255184074,
+    "train_runtime": 7672.2284,
+    "train_samples_per_second": 7.189,
+    "train_steps_per_second": 0.028
+}

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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@@ -0,0 +1,52 @@
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+  "vocab_size": 32064
+}

eval_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 3.0,
+    "eval_logits/chosen": -2.731050491333008,
+    "eval_logits/rejected": -2.7048842906951904,
+    "eval_logps/chosen": -183.7933349609375,
+    "eval_logps/rejected": -201.51939392089844,
+    "eval_loss": 0.5440468788146973,
+    "eval_rewards/accuracies": 0.71875,
+    "eval_rewards/chosen": -2.391056537628174,
+    "eval_rewards/margins": 1.7549664974212646,
+    "eval_rewards/rejected": -4.146022796630859,
+    "eval_runtime": 125.4394,
+    "eval_samples_per_second": 16.287,
+    "eval_steps_per_second": 0.255
+}