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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_60
+  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_60
+
+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_60 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5132
+- Rewards/chosen: 1.2483
+- Rewards/rejected: -1.4384
+- Rewards/accuracies: 0.8090
+- Rewards/margins: 2.6868
+- Logps/rejected: -217.5475
+- Logps/chosen: -242.1045
+- Logits/rejected: -2.5237
+- Logits/chosen: -2.5348
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5367        | 0.6231 | 50   | 0.5755          | 1.1959         | -0.1615          | 0.7604             | 1.3575          | -204.7787      | -242.6288    | -2.3101         | -2.3204       |
+| 0.2278        | 1.2461 | 100  | 0.5325          | 1.6096         | -0.6681          | 0.7986             | 2.2777          | -209.8443      | -238.4921    | -2.6060         | -2.6072       |
+| 0.2926        | 1.8692 | 150  | 0.5151          | 1.0491         | -1.4143          | 0.8194             | 2.4633          | -217.3059      | -244.0971    | -2.4769         | -2.4878       |
+| 0.1423        | 2.4922 | 200  | 0.5126          | 1.3148         | -1.3120          | 0.8125             | 2.6268          | -216.2832      | -241.4400    | -2.5411         | -2.5506       |
+
+
+### 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": -2.534839391708374,
+    "eval_logits/rejected": -2.5236949920654297,
+    "eval_logps/chosen": -242.10446166992188,
+    "eval_logps/rejected": -217.54747009277344,
+    "eval_loss": 0.5131691098213196,
+    "eval_rewards/accuracies": 0.8090277910232544,
+    "eval_rewards/chosen": 1.2483490705490112,
+    "eval_rewards/margins": 2.6867623329162598,
+    "eval_rewards/rejected": -1.438413143157959,
+    "eval_runtime": 152.0829,
+    "eval_samples_per_second": 14.992,
+    "eval_steps_per_second": 0.237,
+    "total_flos": 2829829665718272.0,
+    "train_loss": 0.3309280425310135,
+    "train_runtime": 8801.0779,
+    "train_samples_per_second": 6.993,
+    "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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+  "transformers_version": "4.45.2",
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+  "use_image_newline_parameter": true,
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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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checkpoint-100/preprocessor_config.json

@@ -0,0 +1,52 @@
+{
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+    "width": 336
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+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_grid_pinpoints": [
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+    ],
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