october-sd commited on
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Training complete

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README.md CHANGED
@@ -16,12 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 2.0995
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- - eval_runtime: 48.6922
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- - eval_samples_per_second: 50.994
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- - eval_steps_per_second: 6.387
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- - epoch: 2.08
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- - step: 3757
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  ## Model description
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@@ -46,11 +41,25 @@ The following hyperparameters were used during training:
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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: 4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.38.2
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- - Pytorch 2.1.0+cu121
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- - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.9029
 
 
 
 
 
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  ## Model description
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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: 8
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 4.1339 | 1.0 | 1803 | 2.2075 |
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+ | 3.1992 | 2.0 | 3606 | 2.0707 |
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+ | 3.0189 | 3.0 | 5409 | 2.0077 |
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+ | 2.9222 | 4.0 | 7212 | 1.9655 |
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+ | 2.8524 | 5.0 | 9015 | 1.9323 |
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+ | 2.81 | 6.0 | 10818 | 1.9261 |
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+ | 2.7811 | 7.0 | 12621 | 1.9078 |
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+ | 2.7658 | 8.0 | 14424 | 1.9029 |
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+
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  ### Framework versions
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+ - Transformers 4.38.1
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+ - Pytorch 2.1.2
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+ - Datasets 2.15.0
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  - Tokenizers 0.15.2
generation_config.json CHANGED
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  }
 
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