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pasindu
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vit-swin-base-224-gpt2-image-captioning

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vision-encoder-decoder
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End of training

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  1. README.md +15 -9
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -16,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1928
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- - Rouge1: 41.8594
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- - Rouge2: 28.7256
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- - Rougel: 39.7537
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- - Rougelsum: 39.7849
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- - Bleu: 26.9506
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  - Gen Len: 10.4161
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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: 16
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- - eval_batch_size: 16
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  - seed: 42
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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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- - num_epochs: 10
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  ### Training results
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0001
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+ - Rouge1: 99.2148
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+ - Rouge2: 99.1824
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+ - Rougel: 99.22
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+ - Rougelsum: 99.2169
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+ - Bleu: 96.4656
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  - Gen Len: 10.4161
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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: 8
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+ - eval_batch_size: 8
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  - seed: 42
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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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+ - num_epochs: 50
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|
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+ | 0.622 | 11.36 | 2000 | 0.0330 | 91.0769 | 88.8333 | 90.7025 | 90.7277 | 84.8472 | 10.4161 |
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+ | 0.0547 | 22.73 | 4000 | 0.0015 | 99.0694 | 98.9636 | 99.0615 | 99.0613 | 96.1312 | 10.4161 |
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+ | 0.0238 | 34.09 | 6000 | 0.0007 | 99.1681 | 99.0942 | 99.167 | 99.1646 | 96.3754 | 10.4161 |
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+ | 0.0046 | 45.45 | 8000 | 0.0001 | 99.2225 | 99.1781 | 99.217 | 99.2171 | 96.4412 | 10.4161 |
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  ### Framework versions
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