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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_90
+  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_90
+
+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_90 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4735
+- Rewards/chosen: 0.5420
+- Rewards/rejected: -2.3019
+- Rewards/accuracies: 0.8218
+- Rewards/margins: 2.8439
+- Logps/rejected: -225.0065
+- Logps/chosen: -243.1698
+- Logits/rejected: -2.6339
+- Logits/chosen: -2.6492
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6087        | 0.4158 | 50   | 0.5778          | 0.7419         | -0.5074          | 0.7870             | 1.2493          | -207.0612      | -241.1710    | -2.5285         | -2.5456       |
+| 0.5039        | 0.8316 | 100  | 0.5226          | 0.2943         | -1.5654          | 0.8056             | 1.8596          | -217.6406      | -245.6472    | -2.5932         | -2.6105       |
+| 0.2346        | 1.2474 | 150  | 0.4851          | 0.5179         | -1.8870          | 0.8356             | 2.4048          | -220.8566      | -243.4111    | -2.5511         | -2.5729       |
+| 0.26          | 1.6632 | 200  | 0.4692          | 0.8149         | -1.7120          | 0.8264             | 2.5269          | -219.1066      | -240.4409    | -2.6651         | -2.6766       |
+| 0.1628        | 2.0790 | 250  | 0.4654          | 0.2522         | -2.4566          | 0.8264             | 2.7088          | -226.5530      | -246.0683    | -2.6802         | -2.6929       |
+| 0.1808        | 2.4948 | 300  | 0.4721          | 0.8229         | -2.0114          | 0.8241             | 2.8342          | -222.1007      | -240.3612    | -2.6392         | -2.6528       |
+| 0.1514        | 2.9106 | 350  | 0.4736          | 0.5409         | -2.3033          | 0.8218             | 2.8442          | -225.0204      | -243.1809    | -2.6346         | -2.6500       |
+
+
+### 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": -2.64923095703125,
+    "eval_logits/rejected": -2.6339383125305176,
+    "eval_logps/chosen": -243.1698455810547,
+    "eval_logps/rejected": -225.00645446777344,
+    "eval_loss": 0.47353264689445496,
+    "eval_rewards/accuracies": 0.8217592835426331,
+    "eval_rewards/chosen": 0.5419993996620178,
+    "eval_rewards/margins": 2.8439457416534424,
+    "eval_rewards/rejected": -2.3019466400146484,
+    "eval_runtime": 228.1965,
+    "eval_samples_per_second": 14.987,
+    "eval_steps_per_second": 0.237,
+    "total_flos": 4244978440077312.0,
+    "train_loss": 0.33558651275104945,
+    "train_runtime": 13885.8564,
+    "train_samples_per_second": 6.648,
+    "train_steps_per_second": 0.026
+}

checkpoint-100/added_tokens.json

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checkpoint-100/config.json

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+    "model_type": "clip_vision_model",
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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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