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T5-JSON-OM-IMP

Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
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lengocquangLAB commited on
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End of training

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  1. README.md +7 -6
  2. model.safetensors +1 -1
README.md CHANGED
@@ -19,15 +19,15 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [T5-small](https://huggingface.co/T5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 10.2871
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  - Micro Precision: 0
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  - Micro Recall: 0.0
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  - Micro F1: 0
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  - Macro Precision: 0.0
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  - Macro Recall: 0.0
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  - Macro F1: 0
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- - Bleu: 0.0236
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- - Rouge1: 0.0145
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  - Rouge2: 0.0
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  ## Model description
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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: 8
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- - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  | Training Loss | Epoch | Step | Validation Loss | Micro Precision | Micro Recall | Micro F1 | Macro Precision | Macro Recall | Macro F1 | Bleu | Rouge1 | Rouge2 |
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  |:-------------:|:------:|:----:|:---------------:|:---------------:|:------------:|:--------:|:---------------:|:------------:|:--------:|:------:|:------:|:------:|
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- | 15.4491 | 7.1429 | 50 | 10.2871 | 0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0.0236 | 0.0145 | 0.0 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [T5-small](https://huggingface.co/T5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9927
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  - Micro Precision: 0
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  - Micro Recall: 0.0
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  - Micro F1: 0
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  - Macro Precision: 0.0
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  - Macro Recall: 0.0
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  - Macro F1: 0
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+ - Bleu: 0.0243
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+ - Rouge1: 0.0133
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  - Rouge2: 0.0
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  ## Model description
 
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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: 4
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+ - eval_batch_size: 4
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss | Micro Precision | Micro Recall | Micro F1 | Macro Precision | Macro Recall | Macro F1 | Bleu | Rouge1 | Rouge2 |
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  |:-------------:|:------:|:----:|:---------------:|:---------------:|:------------:|:--------:|:---------------:|:------------:|:--------:|:------:|:------:|:------:|
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+ | 15.1542 | 3.8462 | 50 | 8.6615 | 0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0.0228 | 0.0126 | 0.0 |
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+ | 4.6708 | 7.6923 | 100 | 0.9927 | 0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0.0243 | 0.0133 | 0.0 |
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  ### Framework versions
model.safetensors CHANGED
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