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End of training

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README.md CHANGED
@@ -20,13 +20,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the generator dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 1.0751
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- - eval_model_preparation_time: 0.0286
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- - eval_runtime: 21.3878
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- - eval_samples_per_second: 18.375
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- - eval_steps_per_second: 4.629
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- - epoch: 1.2974
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- - step: 3209
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  ## Model description
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@@ -45,7 +40,7 @@ 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: 4e-05
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
@@ -53,10 +48,27 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 16
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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: 400
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- - num_epochs: 2
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - PEFT 0.12.0
 
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  This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0663
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+ - Model Preparation Time: 0.0259
 
 
 
 
 
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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: 1.5e-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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  - total_train_batch_size: 16
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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: 1
 
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
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+ |:-------------:|:------:|:----:|:---------------:|:----------------------:|
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+ | 1.0842 | 0.0809 | 200 | 1.0744 | 0.0259 |
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+ | 1.0767 | 0.1617 | 400 | 1.0724 | 0.0259 |
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+ | 1.0997 | 0.2426 | 600 | 1.0716 | 0.0259 |
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+ | 1.0758 | 0.3234 | 800 | 1.0707 | 0.0259 |
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+ | 1.0949 | 0.4043 | 1000 | 1.0697 | 0.0259 |
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+ | 1.0892 | 0.4851 | 1200 | 1.0687 | 0.0259 |
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+ | 1.0876 | 0.5660 | 1400 | 1.0682 | 0.0259 |
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+ | 1.0873 | 0.6469 | 1600 | 1.0676 | 0.0259 |
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+ | 1.0679 | 0.7277 | 1800 | 1.0671 | 0.0259 |
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+ | 1.0802 | 0.8086 | 2000 | 1.0669 | 0.0259 |
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+ | 1.0823 | 0.8894 | 2200 | 1.0667 | 0.0259 |
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+ | 1.0812 | 0.9703 | 2400 | 1.0663 | 0.0259 |
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  ### Framework versions
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  - PEFT 0.12.0
runs/Aug08_01-18-18_3c395c9c27fe/events.out.tfevents.1723085753.3c395c9c27fe.5947.1 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:34613c4b99d302b78508cd2f32321f4f6cf83c874c3d4fdaf0aaa07ba8140798
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+ size 425