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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_l0_0_25
+  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_l0_0_25
+
+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_l0_0_25 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6643
+- Rewards/chosen: 1.2068
+- Rewards/rejected: -0.3673
+- Rewards/accuracies: 0.7750
+- Rewards/margins: 1.5741
+- Logps/rejected: -205.3958
+- Logps/chosen: -234.9886
+- Logits/rejected: -2.3841
+- Logits/chosen: -2.3868
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.2704        | 1.4925 | 50   | 0.6698          | 1.3442         | -0.0545          | 0.7583             | 1.3987          | -202.2679      | -233.6154    | -2.4863         | -2.4811       |
+
+
+### 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": 2.955223880597015,
+    "eval_logits/chosen": -2.3867504596710205,
+    "eval_logits/rejected": -2.3840601444244385,
+    "eval_logps/chosen": -234.9886016845703,
+    "eval_logps/rejected": -205.3957977294922,
+    "eval_loss": 0.6642679572105408,
+    "eval_rewards/accuracies": 0.7749999761581421,
+    "eval_rewards/chosen": 1.2068389654159546,
+    "eval_rewards/margins": 1.5741199254989624,
+    "eval_rewards/rejected": -0.3672809302806854,
+    "eval_runtime": 63.475,
+    "eval_samples_per_second": 14.967,
+    "eval_steps_per_second": 0.236,
+    "total_flos": 1167029855846400.0,
+    "train_loss": 0.3617620191188774,
+    "train_runtime": 3443.816,
+    "train_samples_per_second": 7.446,
+    "train_steps_per_second": 0.029
+}

checkpoint-99/added_tokens.json

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+  "<pad>": 32001
+}

checkpoint-99/config.json

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+{
+  "_name_or_path": "/data/align-anything/hantao/models/llava-v1.6-mistral-7b-hf",
+  "architectures": [
+    "LlavaNextForConditionalGeneration"
+  ],
+  "hidden_size": 4096,
+  "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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+    "max_position_embeddings": 32768,
+    "model_type": "mistral",
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+    "rms_norm_eps": 1e-05,
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+    "sliding_window": null,
+    "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": {
+    "hidden_size": 1024,
+    "image_size": 336,
+    "intermediate_size": 4096,
+    "model_type": "clip_vision_model",
+    "num_attention_heads": 16,
+    "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-99/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-99/preprocessor_config.json

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checkpoint-99/special_tokens_map.json

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special_tokens_map.json

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train_results.json

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