End of training

README.md

@@ -0,0 +1,54 @@
+---
+license: apache-2.0
+base_model: dandelin/vilt-b32-mlm
+tags:
+- generated_from_trainer
+datasets:
+- coco_vqa_small_dataset
+model-index:
+- name: Lab10_VQA_fulltrain
+  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. -->
+
+# Lab10_VQA_fulltrain
+
+This model is a fine-tuned version of [dandelin/vilt-b32-mlm](https://huggingface.co/dandelin/vilt-b32-mlm) on the coco_vqa_small_dataset 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: 32
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.0+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1d7bbb637415147ef57969796f6788a7da98b2ddbf295b9f9e8c2105363174fa
+oid sha256:dcdbe1e6bc9357d3ae32f3fa7f3817637037d2cdf5f995d0205ad2bc30ced371
 size 456084864

runs/May19_15-36-16_KugelblitzPC/events.out.tfevents.1716104178.KugelblitzPC.16652.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9788d48b24e882b55a8530920a181697a8233f358e7a102b038a0f89abf19d57
-size 39416
+oid sha256:c80507286514d997ceb6e8731d84e635a709d1116801d0e4968380f75c663c4d
+size 40192