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Text2Text Generation
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Safetensors
t5
Generated from Trainer
text-generation-inference
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codet5-finetuned-32epochs

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  1. README.md +16 -8
  2. model.safetensors +1 -1
  3. 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 [vinzur/results](https://huggingface.co/vinzur/results) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1502
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  ## Model description
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@@ -35,23 +35,31 @@ 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: 2e-05
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  - train_batch_size: 2
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  - eval_batch_size: 2
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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: 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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- | No log | 1.0 | 75 | 0.1514 |
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- | 0.1471 | 2.0 | 150 | 0.1502 |
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- | 0.1234 | 3.0 | 225 | 0.1521 |
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- | 0.1007 | 4.0 | 300 | 0.1540 |
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- | 0.1007 | 5.0 | 375 | 0.1531 |
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [vinzur/results](https://huggingface.co/vinzur/results) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3230
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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: 1e-05
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  - train_batch_size: 2
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  - eval_batch_size: 2
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 12
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 63 | 0.3541 |
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+ | 0.4108 | 2.0 | 126 | 0.3398 |
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+ | 0.4108 | 3.0 | 189 | 0.3230 |
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+ | 0.3148 | 4.0 | 252 | 0.3258 |
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+ | 0.2871 | 5.0 | 315 | 0.3230 |
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+ | 0.2871 | 6.0 | 378 | 0.3288 |
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+ | 0.2468 | 7.0 | 441 | 0.3251 |
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+ | 0.2274 | 8.0 | 504 | 0.3277 |
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+ | 0.2274 | 9.0 | 567 | 0.3306 |
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+ | 0.2103 | 10.0 | 630 | 0.3263 |
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+ | 0.2103 | 11.0 | 693 | 0.3266 |
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+ | 0.2094 | 12.0 | 756 | 0.3285 |
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  ### Framework versions
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