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: gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-medir
+  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. -->
+
+# gm-lora-bfloat16-idefics2-8b-xrayvqa-finetuned-medir
+
+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: 1.6893
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 10
+- total_train_batch_size: 80
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0712        | 0.1529 | 50   | 1.4681          |
+| 1.1045        | 0.3057 | 100  | 1.4921          |
+| 1.1032        | 0.4586 | 150  | 1.4891          |
+| 1.1182        | 0.6114 | 200  | 1.4860          |
+| 1.3049        | 0.7643 | 250  | 1.4402          |
+| 1.4376        | 0.9172 | 300  | 1.4256          |
+| 1.2084        | 1.0700 | 350  | 1.5379          |
+| 0.8495        | 1.2229 | 400  | 1.5216          |
+| 0.8827        | 1.3757 | 450  | 1.5241          |
+| 0.8995        | 1.5286 | 500  | 1.5431          |
+| 0.8939        | 1.6814 | 550  | 1.5198          |
+| 0.9077        | 1.8343 | 600  | 1.5106          |
+| 0.9128        | 1.9872 | 650  | 1.5176          |
+| 0.5954        | 2.1400 | 700  | 1.6831          |
+| 0.569         | 2.2929 | 750  | 1.6783          |
+| 0.5578        | 2.4457 | 800  | 1.6861          |
+| 0.5624        | 2.5986 | 850  | 1.6859          |
+| 0.5754        | 2.7515 | 900  | 1.6907          |
+| 0.5582        | 2.9043 | 950  | 1.6893          |
+
+
+### Framework versions
+
+- Transformers 4.41.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- 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:bfefbf79ef67eb4619ba524df553507ffd12160715c1df6b507e232fd74d8b97
+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": "4.41.0.dev0"
+}

training_args.bin

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