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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-Cosi-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-Cosi-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-Cosi-q0_25_preference dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5909
+- Rewards/chosen: -2.7988
+- Rewards/rejected: -4.2628
+- Rewards/accuracies: 0.7266
+- Rewards/margins: 1.4639
+- Logps/rejected: -211.2034
+- Logps/chosen: -194.0678
+- Logits/rejected: -2.6060
+- Logits/chosen: -2.6047
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.575         | 0.6944 | 50   | 0.5680          | -0.5232        | -1.1499          | 0.6914             | 0.6267          | -180.0744      | -171.3114    | -2.7966         | -2.7982       |
+| 0.2161        | 1.3889 | 100  | 0.5416          | -1.1269        | -2.2892          | 0.7461             | 1.1623          | -191.4681      | -177.3486    | -2.6708         | -2.6714       |
+| 0.0912        | 2.0833 | 150  | 0.5559          | -2.1342        | -3.5698          | 0.7188             | 1.4356          | -204.2739      | -187.4216    | -2.6701         | -2.6674       |
+| 0.0828        | 2.7778 | 200  | 0.5902          | -2.7717        | -4.2295          | 0.7227             | 1.4578          | -210.8705      | -193.7959    | -2.6071         | -2.6057       |
+
+
+### 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": -2.6046547889709473,
+    "eval_logits/rejected": -2.605973482131958,
+    "eval_logps/chosen": -194.06776428222656,
+    "eval_logps/rejected": -211.20343017578125,
+    "eval_loss": 0.5909408926963806,
+    "eval_rewards/accuracies": 0.7265625,
+    "eval_rewards/chosen": -2.798844337463379,
+    "eval_rewards/margins": 1.4639229774475098,
+    "eval_rewards/rejected": -4.2627668380737305,
+    "eval_runtime": 126.0832,
+    "eval_samples_per_second": 16.204,
+    "eval_steps_per_second": 0.254,
+    "total_flos": 2546799910846464.0,
+    "train_loss": 0.29657687264046184,
+    "train_runtime": 7656.725,
+    "train_samples_per_second": 7.203,
+    "train_steps_per_second": 0.028
+}

checkpoint-100/added_tokens.json

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+}

checkpoint-100/config.json

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+  "transformers_version": "4.45.2",
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+    "model_type": "clip_vision_model",
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+    "vocab_size": 32000
+  },
+  "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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+}

eval_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 3.0,
+    "eval_logits/chosen": -2.6046547889709473,
+    "eval_logits/rejected": -2.605973482131958,
+    "eval_logps/chosen": -194.06776428222656,
+    "eval_logps/rejected": -211.20343017578125,
+    "eval_loss": 0.5909408926963806,
+    "eval_rewards/accuracies": 0.7265625,
+    "eval_rewards/chosen": -2.798844337463379,
+    "eval_rewards/margins": 1.4639229774475098,
+    "eval_rewards/rejected": -4.2627668380737305,
+    "eval_runtime": 126.0832,
+    "eval_samples_per_second": 16.204,
+    "eval_steps_per_second": 0.254
+}