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cincin2399
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codet5-fine-tuned

Text2Text Generation
Transformers
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
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cincin2399 commited on
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End of training

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Files changed (5) hide show
  1. README.md +9 -12
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. special_tokens_map.json +700 -100
  5. training_args.bin +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: bsd-3-clause
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- base_model: cincin2399/codet5-fine-tuned
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # codet5-fine-tuned
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- This model is a fine-tuned version of [cincin2399/codet5-fine-tuned](https://huggingface.co/cincin2399/codet5-fine-tuned) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1042
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  ## Model description
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@@ -35,24 +35,21 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 3
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- - eval_batch_size: 3
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  - seed: 42
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  - gradient_accumulation_steps: 4
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- - total_train_batch_size: 12
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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 | 0.99 | 56 | 0.1009 |
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- | 0.1188 | 1.99 | 113 | 0.1013 |
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- | 0.1188 | 3.0 | 170 | 0.1018 |
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- | 0.0784 | 4.0 | 227 | 0.1038 |
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- | 0.0784 | 4.93 | 280 | 0.1042 |
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  ### Framework versions
 
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  ---
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  license: bsd-3-clause
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+ base_model: Salesforce/codet5p-220m
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # codet5-fine-tuned
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+ This model is a fine-tuned version of [Salesforce/codet5p-220m](https://huggingface.co/Salesforce/codet5p-220m) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1944
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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  - seed: 42
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  - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 16
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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: 2
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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 | 0.98 | 42 | 0.2024 |
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+ | No log | 1.96 | 84 | 0.1944 |
 
 
 
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  ### Framework versions
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