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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_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_cocour_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_cocour_new_step10_0_80 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5250
+- Rewards/chosen: 0.5658
+- Rewards/rejected: -2.2697
+- Rewards/accuracies: 0.8307
+- Rewards/margins: 2.8355
+- Logps/rejected: -237.9764
+- Logps/chosen: -250.5795
+- Logits/rejected: -2.1447
+- Logits/chosen: -2.1680
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.572         | 0.4673 | 50   | 0.5720          | 1.0708         | -0.2185          | 0.7578             | 1.2893          | -217.4643      | -245.5292    | -2.5291         | -2.5309       |
+| 0.4997        | 0.9346 | 100  | 0.5102          | 0.8653         | -0.9135          | 0.7865             | 1.7788          | -224.4143      | -247.5850    | -2.1776         | -2.2008       |
+| 0.2873        | 1.4019 | 150  | 0.5675          | 1.0559         | -1.2279          | 0.7891             | 2.2838          | -227.5579      | -245.6786    | -2.2632         | -2.2750       |
+| 0.2853        | 1.8692 | 200  | 0.5163          | 0.7188         | -1.7114          | 0.8203             | 2.4302          | -232.3931      | -249.0491    | -2.1251         | -2.1478       |
+| 0.1541        | 2.3364 | 250  | 0.5271          | 0.5977         | -2.1434          | 0.8177             | 2.7411          | -236.7135      | -250.2604    | -2.2153         | -2.2352       |
+| 0.1566        | 2.8037 | 300  | 0.5242          | 0.5568         | -2.2821          | 0.8307             | 2.8389          | -238.1007      | -250.6694    | -2.1442         | -2.1674       |
+
+
+### 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": -2.1679632663726807,
+    "eval_logits/rejected": -2.144676923751831,
+    "eval_logps/chosen": -250.57945251464844,
+    "eval_logps/rejected": -237.97642517089844,
+    "eval_loss": 0.5249601006507874,
+    "eval_rewards/accuracies": 0.8307291865348816,
+    "eval_rewards/chosen": 0.5658118724822998,
+    "eval_rewards/margins": 2.835527181625366,
+    "eval_rewards/rejected": -2.2697153091430664,
+    "eval_runtime": 201.1633,
+    "eval_samples_per_second": 15.112,
+    "eval_steps_per_second": 0.239,
+    "total_flos": 3785055088410624.0,
+    "train_loss": 0.33236435687059185,
+    "train_runtime": 12185.597,
+    "train_samples_per_second": 6.734,
+    "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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