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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_text_image_to_text
+  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_text_image_to_text
+
+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_text_image_to_text dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4500
+- Rewards/chosen: -0.6971
+- Rewards/rejected: -4.4006
+- Rewards/accuracies: 0.8206
+- Rewards/margins: 3.7035
+- Logps/rejected: -242.2139
+- Logps/chosen: -207.2900
+- Logits/rejected: -1.9132
+- Logits/chosen: -1.9735
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.4516        | 0.3623 | 50   | 0.4421          | 0.8113         | -0.8305          | 0.7903             | 1.6418          | -206.5130      | -192.2066    | -1.6310         | -1.7066       |
+| 0.3759        | 0.7246 | 100  | 0.4121          | -0.0472        | -2.2762          | 0.8145             | 2.2290          | -220.9696      | -200.7911    | -1.7930         | -1.8524       |
+| 0.149         | 1.0870 | 150  | 0.4205          | 0.5835         | -1.8816          | 0.8206             | 2.4651          | -217.0244      | -194.4847    | -1.6746         | -1.7425       |
+| 0.1474        | 1.4493 | 200  | 0.4274          | -0.5411        | -3.7374          | 0.8306             | 3.1963          | -235.5818      | -205.7306    | -1.7947         | -1.8599       |
+| 0.1268        | 1.8116 | 250  | 0.4333          | -0.0670        | -3.3107          | 0.8206             | 3.2437          | -231.3154      | -200.9896    | -2.0993         | -2.1450       |
+| 0.064         | 2.1739 | 300  | 0.4332          | -0.5167        | -4.0958          | 0.8306             | 3.5792          | -239.1665      | -205.4860    | -1.9327         | -1.9909       |
+| 0.056         | 2.5362 | 350  | 0.4481          | -0.5224        | -4.1134          | 0.8185             | 3.5910          | -239.3422      | -205.5439    | -1.9163         | -1.9756       |
+| 0.0721        | 2.8986 | 400  | 0.4507          | -0.7023        | -4.4082          | 0.8185             | 3.7059          | -242.2901      | -207.3426    | -1.9129         | -1.9731       |
+
+
+### 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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+{
+  "<image>": 32000,
+  "<pad>": 32001
+}

all_results.json

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+{
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+    "eval_logits/chosen": -1.9734503030776978,
+    "eval_logits/rejected": -1.9131892919540405,
+    "eval_logps/chosen": -207.2900390625,
+    "eval_logps/rejected": -242.21389770507812,
+    "eval_loss": 0.4500236213207245,
+    "eval_rewards/accuracies": 0.8205645084381104,
+    "eval_rewards/chosen": -0.6970584392547607,
+    "eval_rewards/margins": 3.703523635864258,
+    "eval_rewards/rejected": -4.400582313537598,
+    "eval_runtime": 246.9541,
+    "eval_samples_per_second": 15.881,
+    "eval_steps_per_second": 0.251,
+    "total_flos": 4881795388538880.0,
+    "train_loss": 0.21825214281030322,
+    "train_runtime": 15718.3029,
+    "train_samples_per_second": 6.736,
+    "train_steps_per_second": 0.026
+}

checkpoint-100/added_tokens.json

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

checkpoint-100/config.json

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+    "torch_dtype": "bfloat16",
+    "vocab_size": 32064
+  },
+  "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-100/generation_config.json

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+  "eos_token_id": 2,
+  "transformers_version": "4.45.2"
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