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End of training

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  1. README.md +6 -5
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ 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-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1369
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  ## Model description
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@@ -41,15 +41,16 @@ 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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.9579 | 0.9 | 200 | 0.1805 |
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- | 0.2105 | 1.8 | 400 | 0.1447 |
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- | 0.1623 | 2.7 | 600 | 0.1369 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1576
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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: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.0548 | 0.9 | 200 | 0.1797 |
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+ | 0.2117 | 1.8 | 400 | 0.1559 |
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+ | 0.1621 | 2.7 | 600 | 0.1611 |
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+ | 0.1289 | 3.6 | 800 | 0.1576 |
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  ### Framework versions
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