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my_fine_tuned_t5_small_model

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Transformers
TensorBoard
Safetensors
Vietnamese
mt5
text2text-generation
Generated from Trainer
Inference Endpoints
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Files changed (8) hide show
  1. README.md +23 -4
  2. generation_config.json +0 -1
  3. model.safetensors +1 -1
  4. runs/Jun09_18-27-42_DESKTOP-H2CRQMR/events.out.tfevents.1717932463.DESKTOP-H2CRQMR.655616.0 +3 -0
  5. runs/Jun09_18-29-20_DESKTOP-H2CRQMR/events.out.tfevents.1717932560.DESKTOP-H2CRQMR.655616.1 +3 -0
  6. runs/Jun09_18-30-46_DESKTOP-H2CRQMR/events.out.tfevents.1717932647.DESKTOP-H2CRQMR.656333.0 +3 -0
  7. runs/Jun09_18-31-55_DESKTOP-H2CRQMR/events.out.tfevents.1717932716.DESKTOP-H2CRQMR.656333.1 +3 -0
  8. training_args.bin +2 -2
README.md CHANGED
@@ -3,6 +3,8 @@ license: apache-2.0
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  base_model: huggingface-course/mt5-finetuned-amazon-en-es
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: my_fine_tuned_t5_small_model
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  results: []
@@ -14,6 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # my_fine_tuned_t5_small_model
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  This model is a fine-tuned version of [huggingface-course/mt5-finetuned-amazon-en-es](https://huggingface.co/huggingface-course/mt5-finetuned-amazon-en-es) on the None dataset.
 
 
 
 
 
 
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  ## Model description
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@@ -32,18 +40,29 @@ 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: 5.6e-05
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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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  - 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: 3000
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  - num_epochs: 10
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- - mixed_precision_training: Native AMP
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  ### Training results
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  ### Framework versions
 
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  base_model: huggingface-course/mt5-finetuned-amazon-en-es
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - rouge
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  model-index:
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  - name: my_fine_tuned_t5_small_model
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  results: []
 
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  # my_fine_tuned_t5_small_model
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  This model is a fine-tuned version of [huggingface-course/mt5-finetuned-amazon-en-es](https://huggingface.co/huggingface-course/mt5-finetuned-amazon-en-es) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.1069
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+ - Rouge1: 26.742
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+ - Rouge2: 7.9622
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+ - Rougel: 20.4423
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+ - Rougelsum: 20.7426
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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: 0.001
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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: 3000
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  - num_epochs: 10
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
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+ | 4.428 | 1.0 | 13 | 2.8216 | 19.1382 | 5.389 | 15.1855 | 15.1893 |
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+ | 4.299 | 2.0 | 26 | 2.6894 | 19.6236 | 5.4931 | 15.4001 | 15.5122 |
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+ | 4.0999 | 3.0 | 39 | 2.5552 | 22.2435 | 6.6021 | 17.2465 | 17.4679 |
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+ | 3.8541 | 4.0 | 52 | 2.4394 | 23.3478 | 7.1578 | 18.4112 | 18.6265 |
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+ | 3.6964 | 5.0 | 65 | 2.3568 | 25.092 | 7.4595 | 19.3078 | 19.5198 |
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+ | 3.5481 | 6.0 | 78 | 2.3018 | 26.0743 | 8.0058 | 19.9644 | 20.2044 |
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+ | 3.2977 | 7.0 | 91 | 2.2207 | 26.8852 | 7.9185 | 20.5406 | 20.7554 |
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+ | 3.2768 | 8.0 | 104 | 2.1832 | 26.3885 | 7.9643 | 20.3863 | 20.6338 |
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+ | 3.2047 | 9.0 | 117 | 2.1403 | 26.598 | 7.883 | 20.3585 | 20.4868 |
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+ | 3.0813 | 10.0 | 130 | 2.1069 | 26.742 | 7.9622 | 20.4423 | 20.7426 |
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  ### Framework versions
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