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devcnn5
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t5-large-fft

Text2Text Generation
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t5
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text-generation-inference
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devcnn5/t5-large

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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/Jan03_14-43-09_AZJAIVISIONA100G07M02/events.out.tfevents.1735915389.AZJAIVISIONA100G07M02.433764.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ 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: 0.0209
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  ## Model description
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@@ -35,7 +35,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0005
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -47,16 +47,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.0419 | 0.2 | 500 | 0.0315 |
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- | 0.0344 | 0.4 | 1000 | 0.0267 |
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- | 0.0313 | 0.6 | 1500 | 0.0245 |
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- | 0.0269 | 0.8 | 2000 | 0.0230 |
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- | 0.026 | 1.0 | 2500 | 0.0219 |
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- | 0.0192 | 1.2 | 3000 | 0.0218 |
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- | 0.0233 | 1.4 | 3500 | 0.0213 |
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- | 0.0223 | 1.6 | 4000 | 0.0210 |
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- | 0.0214 | 1.8 | 4500 | 0.0210 |
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- | 0.0233 | 2.0 | 5000 | 0.0209 |
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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: 0.0427
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0725 | 0.2 | 500 | 0.1335 |
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+ | 0.0884 | 0.4 | 1000 | 0.0830 |
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+ | 0.0535 | 0.6 | 1500 | 0.0643 |
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+ | 0.0713 | 0.8 | 2000 | 0.0449 |
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+ | 0.0486 | 1.0 | 2500 | 0.0437 |
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+ | 0.041 | 1.2 | 3000 | 0.0433 |
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+ | 0.0478 | 1.4 | 3500 | 0.0430 |
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+ | 0.0472 | 1.6 | 4000 | 0.0428 |
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+ | 0.0461 | 1.8 | 4500 | 0.0427 |
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+ | 0.0667 | 2.0 | 5000 | 0.0427 |
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  ### Framework versions
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