kyryl-opens-ml commited on
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End of training

Browse files
README.md CHANGED
@@ -16,7 +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/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0301
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  ## Model description
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@@ -39,12 +39,34 @@ The following hyperparameters were used during training:
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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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- - num_epochs: 0.0001
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  ### Training results
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3584
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  ## Model description
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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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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 128
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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: 1000.0
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 0.3349 | 62.5 | 500 | 0.2107 |
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+ | 0.1147 | 125.0 | 1000 | 0.2410 |
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+ | 0.071 | 187.5 | 1500 | 0.2687 |
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+ | 0.0502 | 250.0 | 2000 | 0.2901 |
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+ | 0.0373 | 312.5 | 2500 | 0.3033 |
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+ | 0.0301 | 375.0 | 3000 | 0.3141 |
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+ | 0.025 | 437.5 | 3500 | 0.3235 |
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+ | 0.0212 | 500.0 | 4000 | 0.3312 |
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+ | 0.0187 | 562.5 | 4500 | 0.3404 |
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+ | 0.017 | 625.0 | 5000 | 0.3371 |
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+ | 0.0148 | 687.5 | 5500 | 0.3466 |
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+ | 0.0139 | 750.0 | 6000 | 0.3480 |
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+ | 0.0124 | 812.5 | 6500 | 0.3552 |
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+ | 0.0118 | 875.0 | 7000 | 0.3594 |
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+ | 0.0112 | 937.5 | 7500 | 0.3581 |
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+ | 0.0106 | 1000.0 | 8000 | 0.3584 |
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