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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_cosi_new_step10_0_80
+  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_cosi_new_step10_0_80
+
+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_cosi_new_step10_0_80 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5448
+- Rewards/chosen: 0.4294
+- Rewards/rejected: -2.4664
+- Rewards/accuracies: 0.7969
+- Rewards/margins: 2.8958
+- Logps/rejected: -238.7556
+- Logps/chosen: -244.1195
+- Logits/rejected: -2.2467
+- Logits/chosen: -2.2820
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5529        | 0.4673 | 50   | 0.5947          | 0.8739         | -0.2594          | 0.7318             | 1.1333          | -216.6857      | -239.6745    | -2.0297         | -2.0593       |
+| 0.5159        | 0.9346 | 100  | 0.5286          | -0.2159        | -2.0191          | 0.7812             | 1.8031          | -234.2824      | -250.5727    | -1.9168         | -1.9646       |
+| 0.2666        | 1.4019 | 150  | 0.5667          | 0.7904         | -1.6811          | 0.7891             | 2.4715          | -230.9029      | -240.5096    | -2.2443         | -2.2847       |
+| 0.3127        | 1.8692 | 200  | 0.5356          | 0.6480         | -1.8158          | 0.8047             | 2.4639          | -232.2502      | -241.9330    | -2.3879         | -2.4148       |
+| 0.152         | 2.3364 | 250  | 0.5442          | 0.6088         | -2.0845          | 0.7891             | 2.6933          | -234.9365      | -242.3255    | -2.2443         | -2.2814       |
+| 0.1431        | 2.8037 | 300  | 0.5450          | 0.4225         | -2.4743          | 0.7943             | 2.8968          | -238.8347      | -244.1887    | -2.2467         | -2.2822       |
+
+
+### 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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+{
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+    "eval_logits/chosen": -2.2820301055908203,
+    "eval_logits/rejected": -2.246671438217163,
+    "eval_logps/chosen": -244.1195068359375,
+    "eval_logps/rejected": -238.75563049316406,
+    "eval_loss": 0.5447676181793213,
+    "eval_rewards/accuracies": 0.796875,
+    "eval_rewards/chosen": 0.42937949299812317,
+    "eval_rewards/margins": 2.895768404006958,
+    "eval_rewards/rejected": -2.4663889408111572,
+    "eval_runtime": 203.3244,
+    "eval_samples_per_second": 14.951,
+    "eval_steps_per_second": 0.236,
+    "total_flos": 3785055088410624.0,
+    "train_loss": 0.32465138984989156,
+    "train_runtime": 12160.5022,
+    "train_samples_per_second": 6.748,
+    "train_steps_per_second": 0.026
+}

checkpoint-100/added_tokens.json

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checkpoint-100/config.json

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+    "vocab_size": 32000
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+  "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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