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t5-small

Text2Text Generation
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t5
Generated from Trainer
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text-generation-inference
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End of training

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  1. README.md +17 -21
  2. model.safetensors +1 -1
  3. runs/Dec30_10-28-48_nsjmhjr540/events.out.tfevents.1703932132.nsjmhjr540.242.0 +2 -2
README.md CHANGED
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  ---
 
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  tags:
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  - generated_from_trainer
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  metrics:
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  # t5-small
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- This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6644
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- - Rouge1: 58.4345
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- - Rouge2: 35.6298
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- - Rougel: 56.7347
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- - Rougelsum: 56.768
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- - Bleu: 0.2405
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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: 5e-05
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- - train_batch_size: 64
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- - eval_batch_size: 64
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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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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu |
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- |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|
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- | 1.8479 | 0.34 | 3000 | 1.7017 | 58.311 | 35.3602 | 56.618 | 56.6461 | 0.2379 |
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- | 1.8327 | 0.68 | 6000 | 1.6922 | 58.3222 | 35.4329 | 56.6269 | 56.6666 | 0.2385 |
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- | 1.8236 | 1.01 | 9000 | 1.6832 | 58.3368 | 35.42 | 56.6223 | 56.6611 | 0.2382 |
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- | 1.8046 | 1.35 | 12000 | 1.6784 | 58.4461 | 35.538 | 56.7423 | 56.779 | 0.2394 |
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- | 1.8078 | 1.69 | 15000 | 1.6718 | 58.4257 | 35.566 | 56.7209 | 56.7558 | 0.2394 |
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- | 1.7989 | 2.03 | 18000 | 1.6688 | 58.4162 | 35.6118 | 56.7173 | 56.7626 | 0.2402 |
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- | 1.7945 | 2.37 | 21000 | 1.6661 | 58.444 | 35.6166 | 56.7463 | 56.7845 | 0.2401 |
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- | 1.7907 | 2.71 | 24000 | 1.6644 | 58.4345 | 35.6298 | 56.7347 | 56.768 | 0.2405 |
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  ### Framework versions
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  - Transformers 4.36.2
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  - Pytorch 1.13.0+cu117
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- - Datasets 2.4.0
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  - Tokenizers 0.15.0
 
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  ---
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+ base_model: ToirovSadi/t5-small
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # t5-small
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+ This model is a fine-tuned version of [ToirovSadi/t5-small](https://huggingface.co/ToirovSadi/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5871
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+ - Rouge1: 61.1404
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+ - Rouge2: 37.8854
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+ - Rougel: 59.2953
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+ - Rougelsum: 59.3081
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+ - Bleu: 0.2843
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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: 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu |
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+ |:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|
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+ | 1.7433 | 0.99 | 70000 | 1.6000 | 60.9802 | 37.6872 | 59.1561 | 59.1644 | 0.2821 |
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+ | 1.7216 | 1.97 | 140000 | 1.5905 | 61.1241 | 37.8722 | 59.2878 | 59.2991 | 0.2839 |
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+ | 1.7389 | 2.96 | 210000 | 1.5871 | 61.1404 | 37.8854 | 59.2953 | 59.3081 | 0.2843 |
 
 
 
 
 
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  ### Framework versions
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  - Transformers 4.36.2
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  - Pytorch 1.13.0+cu117
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+ - Datasets 2.16.0
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  - Tokenizers 0.15.0
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