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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_new_step10_0_50
+  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_new_step10_0_50
+
+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_new_step10_0_50 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5718
+- Rewards/chosen: 1.6486
+- Rewards/rejected: -0.6959
+- Rewards/accuracies: 0.7875
+- Rewards/margins: 2.3445
+- Logps/rejected: -234.6941
+- Logps/chosen: -260.0429
+- Logits/rejected: -2.1761
+- Logits/chosen: -2.2166
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6007        | 0.7463 | 50   | 0.6151          | 1.2505         | -0.1629          | 0.7625             | 1.4133          | -229.3638      | -264.0242    | -2.0851         | -2.1190       |
+| 0.2744        | 1.4925 | 100  | 0.5826          | 1.7733         | -0.3014          | 0.7542             | 2.0746          | -230.7489      | -258.7962    | -2.2145         | -2.2505       |
+| 0.1721        | 2.2388 | 150  | 0.5628          | 1.4346         | -0.7617          | 0.7833             | 2.1963          | -235.3523      | -262.1832    | -2.1546         | -2.1956       |
+| 0.1926        | 2.9851 | 200  | 0.5716          | 1.6470         | -0.6954          | 0.7875             | 2.3424          | -234.6892      | -260.0590    | -2.1760         | -2.2166       |
+
+
+### 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": 3.0,
+    "eval_logits/chosen": -2.2166244983673096,
+    "eval_logits/rejected": -2.176083564758301,
+    "eval_logps/chosen": -260.0429382324219,
+    "eval_logps/rejected": -234.69407653808594,
+    "eval_loss": 0.5717999339103699,
+    "eval_rewards/accuracies": 0.7875000238418579,
+    "eval_rewards/chosen": 1.6485886573791504,
+    "eval_rewards/margins": 2.3444631099700928,
+    "eval_rewards/rejected": -0.6958744525909424,
+    "eval_runtime": 127.4684,
+    "eval_samples_per_second": 14.906,
+    "eval_steps_per_second": 0.235,
+    "total_flos": 2369906314051584.0,
+    "train_loss": 0.3513164082866403,
+    "train_runtime": 7398.18,
+    "train_samples_per_second": 6.932,
+    "train_steps_per_second": 0.027
+}

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,
+  "image_grid_pinpoints": [
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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": [
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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",
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+  "tie_word_embeddings": false,
+  "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_logps/chosen": -260.0429382324219,
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+    "eval_rewards/accuracies": 0.7875000238418579,
+    "eval_rewards/chosen": 1.6485886573791504,
+    "eval_rewards/margins": 2.3444631099700928,
+    "eval_rewards/rejected": -0.6958744525909424,
+    "eval_runtime": 127.4684,
+    "eval_samples_per_second": 14.906,
+    "eval_steps_per_second": 0.235
+}

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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special_tokens_map.json

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train_results.json

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