Upload README.md

README.md

@@ -0,0 +1,64 @@
+---
+library_name: transformers
+tags:
+- generated_from_trainer
+- image-to-text
+- image-captioning
+model-index:
+- name: ViT-GPT2
+  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. -->
+
+# ViT-GPT2
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4134
+- Rouge2 Fmeasure: 0.1166
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rouge2 Fmeasure |
+|:-------------:|:------:|:----:|:---------------:|:---------------:|
+| No log        | 0.9987 | 496  | 2.4901          | 0.1077          |
+| 2.5089        | 1.9995 | 993  | 2.4292          | 0.1141          |
+| 2.4103        | 2.9962 | 1488 | 2.4134          | 0.1166          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0
+- Datasets 3.0.0
+- Tokenizers 0.19.1