tigeryi commited on
Commit
8310d59
1 Parent(s): 78486d3

End of training

Browse files
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: apache-2.0
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- base_model: tigeryi/imagenet1k
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,13 +13,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # imagenet1k
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- This model is a fine-tuned version of [tigeryi/imagenet1k](https://huggingface.co/tigeryi/imagenet1k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 6.5990
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- - eval_accuracy: 0.0065
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- - eval_runtime: 913.6847
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- - eval_samples_per_second: 54.723
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- - eval_steps_per_second: 13.681
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  - step: 0
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  ## Model description
@@ -40,8 +40,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 4
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- - eval_batch_size: 4
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  - seed: 1
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  ---
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  license: apache-2.0
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+ base_model: facebook/data2vec-vision-base-ft1k
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # imagenet1k
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+ This model is a fine-tuned version of [facebook/data2vec-vision-base-ft1k](https://huggingface.co/facebook/data2vec-vision-base-ft1k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 0.7310
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+ - eval_accuracy: 0.8355
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+ - eval_runtime: 912.2558
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+ - eval_samples_per_second: 54.809
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+ - eval_steps_per_second: 1.713
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  - step: 0
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  ## Model description
 
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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  - seed: 1
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "tigeryi/imagenet1k",
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  "architectures": [
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  "Data2VecVisionForImageClassification"
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  ],
 
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  {
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+ "_name_or_path": "facebook/data2vec-vision-base-ft1k",
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  "architectures": [
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  "Data2VecVisionForImageClassification"
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  ],
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trainer_state.json CHANGED
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  {
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  "eval_accuracy": 0.83548,
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  "eval_loss": 0.7309545874595642,
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- "eval_runtime": 921.304,
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- "eval_samples_per_second": 54.271,
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  "eval_accuracy": 0.83548,
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  "eval_loss": 0.7309545874595642,
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