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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_random_0_90
+  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_random_0_90
+
+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_random_0_90 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5266
+- Rewards/chosen: 0.6411
+- Rewards/rejected: -1.9030
+- Rewards/accuracies: 0.7986
+- Rewards/margins: 2.5441
+- Logps/rejected: -230.4333
+- Logps/chosen: -239.3183
+- Logits/rejected: -2.0706
+- Logits/chosen: -2.1025
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.635         | 0.4158 | 50   | 0.5987          | 0.8451         | -0.0388          | 0.7014             | 0.8840          | -211.7915      | -237.2780    | -2.3908         | -2.3899       |
+| 0.4933        | 0.8316 | 100  | 0.5285          | -0.2263        | -1.8151          | 0.7523             | 1.5888          | -229.5545      | -247.9923    | -1.9128         | -1.9530       |
+| 0.2495        | 1.2474 | 150  | 0.5427          | 0.5572         | -1.4201          | 0.7593             | 1.9773          | -225.6041      | -240.1570    | -2.0983         | -2.1232       |
+| 0.2753        | 1.6632 | 200  | 0.5260          | 0.5776         | -1.6735          | 0.7870             | 2.2511          | -228.1382      | -239.9529    | -1.9752         | -2.0068       |
+| 0.1584        | 2.0790 | 250  | 0.5118          | 0.5255         | -1.9057          | 0.7940             | 2.4312          | -230.4605      | -240.4746    | -2.0354         | -2.0689       |
+| 0.1572        | 2.4948 | 300  | 0.5261          | 0.7582         | -1.7260          | 0.7986             | 2.4842          | -228.6629      | -238.1469    | -2.0616         | -2.0941       |
+| 0.1557        | 2.9106 | 350  | 0.5265          | 0.6414         | -1.9061          | 0.7986             | 2.5475          | -230.4645      | -239.3154    | -2.0706         | -2.1026       |
+
+
+### 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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+{
+    "epoch": 2.993762993762994,
+    "eval_logits/chosen": -2.102522134780884,
+    "eval_logits/rejected": -2.0705835819244385,
+    "eval_logps/chosen": -239.31826782226562,
+    "eval_logps/rejected": -230.43333435058594,
+    "eval_loss": 0.5266440510749817,
+    "eval_rewards/accuracies": 0.7986111044883728,
+    "eval_rewards/chosen": 0.6410874724388123,
+    "eval_rewards/margins": 2.544097900390625,
+    "eval_rewards/rejected": -1.903010368347168,
+    "eval_runtime": 227.0367,
+    "eval_samples_per_second": 15.064,
+    "eval_steps_per_second": 0.238,
+    "total_flos": 4244978440077312.0,
+    "train_loss": 0.33394469337330923,
+    "train_runtime": 13841.1213,
+    "train_samples_per_second": 6.669,
+    "train_steps_per_second": 0.026
+}

config.json

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+  "architectures": [
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+  ],
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+  "model_type": "llava_next",
+  "projector_hidden_act": "gelu",
+  "text_config": {
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+    "model_type": "mistral",
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+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.45.2",
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+  "vision_config": {
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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
+}

eval_results.json

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+    "eval_logits/chosen": -2.102522134780884,
+    "eval_logits/rejected": -2.0705835819244385,
+    "eval_logps/chosen": -239.31826782226562,
+    "eval_logps/rejected": -230.43333435058594,
+    "eval_loss": 0.5266440510749817,
+    "eval_rewards/accuracies": 0.7986111044883728,
+    "eval_rewards/chosen": 0.6410874724388123,
+    "eval_rewards/margins": 2.544097900390625,
+    "eval_rewards/rejected": -1.903010368347168,
+    "eval_runtime": 227.0367,
+    "eval_samples_per_second": 15.064,
+    "eval_steps_per_second": 0.238
+}

generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.45.2"
+}

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preprocessor_config.json

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special_tokens_map.json

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+{
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tokenizer.model

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+size 493443

tokenizer_config.json

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train_results.json

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