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End of training

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README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/DialoGPT-small](https://huggingface.co/microsoft/DialoGPT-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.0097
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  ## Model description
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@@ -34,27 +34,37 @@ 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: 1e-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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  - gradient_accumulation_steps: 8
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- - total_train_batch_size: 32
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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: 10000
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- - num_epochs: 5
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  - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 4.5766 | 1.0 | 1500 | 3.9055 |
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- | 3.6326 | 2.0 | 3000 | 3.3553 |
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- | 3.3738 | 3.0 | 4500 | 3.1776 |
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- | 3.2193 | 4.0 | 6000 | 3.0785 |
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- | 3.1067 | 5.0 | 7500 | 3.0097 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/DialoGPT-small](https://huggingface.co/microsoft/DialoGPT-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.7547
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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: 0.0001
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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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  - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 64
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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: 25000
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+ - num_epochs: 15
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  - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 4.5766 | 1.0 | 1500 | 3.9055 |
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+ | 3.6326 | 2.0 | 3000 | 3.3553 |
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+ | 3.3738 | 3.0 | 4500 | 3.1776 |
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+ | 3.2193 | 4.0 | 6000 | 3.0785 |
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+ | 3.1067 | 5.0 | 7500 | 3.0097 |
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+ | 3.0286 | 6.0 | 9000 | 2.9714 |
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+ | 2.961 | 7.0 | 10500 | 2.9407 |
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+ | 2.8925 | 8.0 | 12000 | 2.9111 |
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+ | 2.8291 | 9.0 | 13500 | 2.8815 |
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+ | 2.7617 | 10.0 | 15000 | 2.8577 |
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+ | 2.7061 | 11.0 | 16500 | 2.8126 |
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+ | 2.6515 | 12.0 | 18000 | 2.7981 |
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+ | 2.6165 | 13.0 | 19500 | 2.7822 |
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+ | 2.5813 | 14.0 | 21000 | 2.7689 |
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+ | 2.5213 | 15.0 | 22500 | 2.7547 |
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  ### Framework versions
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