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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_20
+  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_20
+
+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_20 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5375
+- Rewards/chosen: 1.9424
+- Rewards/rejected: -0.2063
+- Rewards/accuracies: 0.8333
+- Rewards/margins: 2.1487
+- Logps/rejected: -192.4608
+- Logps/chosen: -228.8406
+- Logits/rejected: -2.4079
+- Logits/chosen: -2.4243
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.2912        | 1.8692 | 50   | 0.5429          | 1.8078         | -0.1404          | 0.7812             | 1.9482          | -191.8026      | -230.1866    | -2.4138         | -2.4286       |
+
+
+### 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": 2.9158878504672896,
+    "eval_logits/chosen": -2.424323320388794,
+    "eval_logits/rejected": -2.4079055786132812,
+    "eval_logps/chosen": -228.84059143066406,
+    "eval_logps/rejected": -192.46083068847656,
+    "eval_loss": 0.5374945402145386,
+    "eval_rewards/accuracies": 0.8333333134651184,
+    "eval_rewards/chosen": 1.9424031972885132,
+    "eval_rewards/margins": 2.1486706733703613,
+    "eval_rewards/rejected": -0.20626752078533173,
+    "eval_runtime": 49.2416,
+    "eval_samples_per_second": 15.434,
+    "eval_steps_per_second": 0.244,
+    "total_flos": 919378820333568.0,
+    "train_loss": 0.3483479917049408,
+    "train_runtime": 3236.9548,
+    "train_samples_per_second": 6.337,
+    "train_steps_per_second": 0.024
+}

checkpoint-78/added_tokens.json

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+{
+  "<image>": 32000,
+  "<pad>": 32001
+}

checkpoint-78/config.json

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+{
+  "_name_or_path": "/data/align-anything/hantao/models/llava-v1.6-mistral-7b-hf",
+  "architectures": [
+    "LlavaNextForConditionalGeneration"
+  ],
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+  "ignore_index": -100,
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+  "image_token_index": 32000,
+  "model_type": "llava_next",
+  "projector_hidden_act": "gelu",
+  "text_config": {
+    "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
+    "architectures": [
+      "MistralForCausalLM"
+    ],
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+    "model_type": "mistral",
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+    "torch_dtype": "bfloat16",
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+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.45.2",
+  "use_cache": false,
+  "use_image_newline_parameter": true,
+  "vision_config": {
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+    "image_size": 336,
+    "intermediate_size": 4096,
+    "model_type": "clip_vision_model",
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+    "num_hidden_layers": 24,
+    "patch_size": 14,
+    "projection_dim": 768,
+    "vocab_size": 32000
+  },
+  "vision_feature_layer": -2,
+  "vision_feature_select_strategy": "default",
+  "vocab_size": 32064
+}

checkpoint-78/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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checkpoint-78/preprocessor_config.json

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checkpoint-78/special_tokens_map.json

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