End of training

README.md

@@ -1,20 +1,11 @@
 ---
 license: apache-2.0
-base_model: facebook/data2vec-vision-base-ft1k
+base_model: tigeryi/imagenet1k
 tags:
 - generated_from_trainer
 model-index:
 - name: imagenet1k
   results: []
-datasets:
-- mrm8488/ImageNet1K-val
-- mrm8488/ImageNet1K-train
-- imagenet-1k
-language:
-- en
-metrics:
-- accuracy
-pipeline_tag: image-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -22,13 +13,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # imagenet1k
 
-This model is a fine-tuned version of [facebook/data2vec-vision-base-ft1k](https://huggingface.co/facebook/data2vec-vision-base-ft1k) on Imagenet1k.
+This model is a fine-tuned version of [tigeryi/imagenet1k](https://huggingface.co/tigeryi/imagenet1k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.7310
-- eval_accuracy: 0.8355
-- eval_runtime: 921.304
-- eval_samples_per_second: 54.271
-- eval_steps_per_second: 1.697
+- eval_loss: 6.5990
+- eval_accuracy: 0.0065
+- eval_runtime: 913.6847
+- eval_samples_per_second: 54.723
+- eval_steps_per_second: 13.681
+- step: 0
 
 ## Model description
 
@@ -48,8 +40,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 1
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -60,4 +52,4 @@ The following hyperparameters were used during training:
 - Transformers 4.40.0
 - Pytorch 2.2.1+cu121
 - Datasets 2.19.0
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "facebook/data2vec-vision-base-ft1k",
+  "_name_or_path": "tigeryi/imagenet1k",
   "architectures": [
     "Data2VecVisionForImageClassification"
   ],

model.safetensors

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 size 346152624

runs/Apr30_02-09-58_8f6e6f1ebfb4/events.out.tfevents.1714443913.8f6e6f1ebfb4.144.1

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training_args.bin

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