End of training

README.md

@@ -0,0 +1,51 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: dandelin/vilt-b32-finetuned-vqa
+tags:
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: vilt-finetuned-fashion-vqa-1000
+  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-finetuned-fashion-vqa-1000
+
+This model is a fine-tuned version of [dandelin/vilt-b32-finetuned-vqa](https://huggingface.co/dandelin/vilt-b32-finetuned-vqa) on the generator dataset.
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b25f3d61f07bc624f6c936e6a7ada4aceaa97990e6e5c6310b0caec370179d9b
+oid sha256:cd8605d5d9f37caea93356e2b029a1ef98cfc48609004c858832873afd22ca06
 size 451799708