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t5-ft-sst5

Text2Text Generation
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t5
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End of training

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  1. README.md +6 -11
  2. model.safetensors +1 -1
  3. runs/Jun13_16-06-27_cc3bb3c13d95/events.out.tfevents.1718294788.cc3bb3c13d95.34.0 +3 -0
  4. 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-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4499
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  ## Model description
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@@ -40,26 +40,21 @@ The following hyperparameters were used during training:
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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: 8
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.756 | 1.0 | 1206 | 0.3439 |
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- | 0.3419 | 2.0 | 2412 | 0.3491 |
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- | 0.3008 | 3.0 | 3618 | 0.3625 |
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- | 0.2689 | 4.0 | 4824 | 0.3680 |
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- | 0.2446 | 5.0 | 6030 | 0.3935 |
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- | 0.2206 | 6.0 | 7236 | 0.4096 |
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- | 0.2022 | 7.0 | 8442 | 0.4408 |
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- | 0.1921 | 8.0 | 9648 | 0.4499 |
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  ### Framework versions
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  - Transformers 4.41.2
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  - Pytorch 2.1.2
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- - Datasets 2.19.2
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3462
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  ## Model description
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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: 3
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.7517 | 1.0 | 1206 | 0.3426 |
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+ | 0.3449 | 2.0 | 2412 | 0.3421 |
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+ | 0.314 | 3.0 | 3618 | 0.3462 |
 
 
 
 
 
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  ### Framework versions
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  - Transformers 4.41.2
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  - Pytorch 2.1.2
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+ - Datasets 2.20.0
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  - Tokenizers 0.19.1
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