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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_30
+  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_30
+
+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_30 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5532
+- Rewards/chosen: 1.6544
+- Rewards/rejected: -1.2534
+- Rewards/accuracies: 0.8056
+- Rewards/margins: 2.9078
+- Logps/rejected: -252.7311
+- Logps/chosen: -241.2080
+- Logits/rejected: -2.0966
+- Logits/chosen: -2.1262
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.2648        | 1.2422 | 50   | 0.5693          | 2.0296         | -0.4936          | 0.8125             | 2.5232          | -245.1335      | -237.4563    | -2.3209         | -2.3384       |
+| 0.1487        | 2.4845 | 100  | 0.5524          | 1.6519         | -1.2519          | 0.8125             | 2.9039          | -252.7170      | -241.2330    | -2.0940         | -2.1241       |
+
+
+### 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": 2.981366459627329,
+    "eval_logits/chosen": -2.1261515617370605,
+    "eval_logits/rejected": -2.0965681076049805,
+    "eval_logps/chosen": -241.2080078125,
+    "eval_logps/rejected": -252.73114013671875,
+    "eval_loss": 0.5531922578811646,
+    "eval_rewards/accuracies": 0.8055555820465088,
+    "eval_rewards/chosen": 1.6544404029846191,
+    "eval_rewards/margins": 2.9077939987182617,
+    "eval_rewards/rejected": -1.253353476524353,
+    "eval_runtime": 76.4448,
+    "eval_samples_per_second": 14.913,
+    "eval_steps_per_second": 0.235,
+    "total_flos": 1414680891359232.0,
+    "train_loss": 0.3361198857426643,
+    "train_runtime": 4442.0256,
+    "train_samples_per_second": 6.927,
+    "train_steps_per_second": 0.027
+}

checkpoint-100/added_tokens.json

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

checkpoint-100/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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+  "model_type": "llava_next",
+  "projector_hidden_act": "gelu",
+  "text_config": {
+    "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
+    "architectures": [
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+    "model_type": "mistral",
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+    "torch_dtype": "bfloat16",
+    "vocab_size": 32064
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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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+    "intermediate_size": 4096,
+    "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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+  "eos_token_id": 2,
+  "transformers_version": "4.45.2"
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@@ -0,0 +1,52 @@
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special_tokens_map.json

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