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End of training

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  1. README.md +7 -3
  2. adapter_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [ybelkada/flan-t5-xl-sharded-bf16](https://huggingface.co/ybelkada/flan-t5-xl-sharded-bf16) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6981
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  ## Model description
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@@ -40,13 +40,17 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.1992 | 0.9 | 200 | 0.6981 |
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [ybelkada/flan-t5-xl-sharded-bf16](https://huggingface.co/ybelkada/flan-t5-xl-sharded-bf16) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2061
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  ## Model description
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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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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.6993 | 0.9 | 200 | 0.3786 |
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+ | 0.4329 | 1.8 | 400 | 0.2510 |
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+ | 0.3233 | 2.7 | 600 | 0.2303 |
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+ | 0.3008 | 3.6 | 800 | 0.2150 |
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+ | 0.2763 | 4.5 | 1000 | 0.2061 |
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  ### Framework versions
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