End of training

README.md

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+---
+license: apache-2.0
+base_model: HuggingFaceM4/idefics2-8b
+tags:
+- generated_from_trainer
+model-index:
+- name: idefics2-8b-path_vqa-finetuned-tutorial
+  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. -->
+
+# idefics2-8b-path_vqa-finetuned-tutorial
+
+This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/idefics2-8b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0688
+
+## 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: 0.0001
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 6.0779        | 0.16  | 10   | 3.3574          |
+| 2.0221        | 0.32  | 20   | 1.2580          |
+| 1.0361        | 0.48  | 30   | 1.0355          |
+| 0.7289        | 0.64  | 40   | 1.0705          |
+| 0.6758        | 0.8   | 50   | 1.0496          |
+| 0.5689        | 0.96  | 60   | 1.0893          |
+| 0.4038        | 1.12  | 70   | 1.1230          |
+| 0.3773        | 1.28  | 80   | 1.0498          |
+| 0.3227        | 1.44  | 90   | 1.1104          |
+| 0.2934        | 1.6   | 100  | 1.0788          |
+| 0.2968        | 1.76  | 110  | 1.0667          |
+| 0.3099        | 1.92  | 120  | 1.0688          |
+
+
+### Framework versions
+
+- Transformers 4.42.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "HuggingFaceM4/idefics2-8b",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": false,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 8,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": ".*(text_model|modality_projection|perceiver_resampler).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$",
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+oid sha256:bdb5f9788ae05ebd8fea35cb7d53d1ecc0c40cbca53f4c5cda2214a09e09ad47
+size 93378688

generation_config.json

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+{
+  "_from_model_config": true,
+  "bad_words_ids": [
+    [
+      32000
+    ],
+    [
+      32001
+    ]
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": [
+    2,
+    32002
+  ],
+  "pad_token_id": 0,
+  "transformers_version": "4.42.0.dev0"
+}

training_args.bin

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+size 5176