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  1. README.md +4 -4
  2. adapter_model.safetensors +1 -1
  3. runs/May10_16-20-25_286eb4fe1ab8/events.out.tfevents.1715358027.286eb4fe1ab8.329.0 +3 -0
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  8. training_args.bin +1 -1
README.md CHANGED
@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the generator dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5745
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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- - train_batch_size: 4
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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: 1
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  ### Training results
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@@ -54,7 +54,7 @@ The following hyperparameters were used during training:
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  ### Framework versions
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  - PEFT 0.10.1.dev0
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- - Transformers 4.40.1
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1083
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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+ - train_batch_size: 16
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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: 20
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  ### Training results
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  ### Framework versions
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  - PEFT 0.10.1.dev0
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+ - Transformers 4.40.2
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
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