End of training

README.md

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+---
+license: other
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: HuggingFaceM4/idefics-9b
+model-index:
+- name: idefics-9b-YBT-Scores
+  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. -->
+
+# idefics-9b-YBT-Scores
+
+This model is a fine-tuned version of [HuggingFaceM4/idefics-9b](https://huggingface.co/HuggingFaceM4/idefics-9b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9246
+
+## 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: 0.0002
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.1393        | 2.76  | 10   | 2.0003          |
+| 1.4136        | 5.52  | 20   | 1.5828          |
+| 1.1321        | 8.28  | 30   | 1.5916          |
+| 0.8633        | 11.03 | 40   | 1.6502          |
+| 0.6091        | 13.79 | 50   | 1.8128          |
+| 0.406         | 16.55 | 60   | 2.0350          |
+| 0.2218        | 19.31 | 70   | 2.3489          |
+| 0.1255        | 22.07 | 80   | 2.6919          |
+| 0.0711        | 24.83 | 90   | 2.8418          |
+| 0.0606        | 27.59 | 100  | 2.9246          |
+
+
+### Framework versions
+
+- PEFT 0.9.1.dev0
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "IdeficsForVisionText2Text",
+    "parent_library": "transformers.models.idefics.modeling_idefics"
+  },
+  "base_model_name_or_path": "HuggingFaceM4/idefics-9b",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 79071880

training_args.bin

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