End of training

README.md

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+---
+license: apache-2.0
+base_model: dandelin/vilt-b32-finetuned-vqa
+tags:
+- generated_from_trainer
+model-index:
+- name: ViLT_Binary_Classifier_Abstract_Scenes
+  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. -->
+
+# ViLT_Binary_Classifier_Abstract_Scenes
+
+This model is a fine-tuned version of [dandelin/vilt-b32-finetuned-vqa](https://huggingface.co/dandelin/vilt-b32-finetuned-vqa) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3099
+
+## 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: 0.0005
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.4285        | 0.08  | 100  | 1.4508          |
+| 1.4158        | 0.17  | 200  | 1.6115          |
+| 1.4004        | 0.25  | 300  | 1.3504          |
+| 1.3907        | 0.34  | 400  | 1.3577          |
+| 1.3568        | 0.42  | 500  | 1.3397          |
+| 1.3562        | 0.5   | 600  | 1.3216          |
+| 1.3566        | 0.59  | 700  | 1.3190          |
+| 1.3255        | 0.67  | 800  | 1.3227          |
+| 1.341         | 0.76  | 900  | 1.3411          |
+| 1.3654        | 0.84  | 1000 | 1.3144          |
+| 1.3343        | 0.92  | 1100 | 1.3099          |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

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