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gpt2-open-instruct-v1-gsm8k

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End of training

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Files changed (29) hide show
  1. README.md +23 -8
  2. checkpoint-4984/added_tokens.json +0 -5
  3. checkpoint-4984/config.json +0 -39
  4. checkpoint-4984/generation_config.json +0 -7
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  11. checkpoint-4984/trainer_state.json +0 -102
  12. checkpoint-4984/vocab.json +0 -0
  13. checkpoint-6230/added_tokens.json +0 -5
  14. checkpoint-6230/config.json +0 -39
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  23. checkpoint-6230/training_args.bin +0 -3
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  25. checkpoint-4984/optimizer.pt → logs/events.out.tfevents.1689925715.d13dacfe7802.300.0 +2 -2
  26. checkpoint-4984/training_args.bin → logs/events.out.tfevents.1689925893.d13dacfe7802.300.1 +2 -2
  27. checkpoint-6230/scheduler.pt → logs/events.out.tfevents.1689930197.d13dacfe7802.300.2 +2 -2
  28. pytorch_model.bin +1 -1
  29. training_args.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [vicgalle/gpt2-open-instruct-v1](https://huggingface.co/vicgalle/gpt2-open-instruct-v1) on the gsm8k dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.4454
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  ## Model description
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@@ -37,23 +37,38 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0005
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- - train_batch_size: 6
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  - eval_batch_size: 1
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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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  - lr_scheduler_warmup_steps: 100
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.6943 | 1.0 | 1246 | 2.5155 |
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- | 2.62 | 2.0 | 2492 | 2.4769 |
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- | 2.5851 | 3.0 | 3738 | 2.4575 |
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- | 2.5692 | 4.0 | 4984 | 2.4492 |
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- | 2.5485 | 5.0 | 6230 | 2.4454 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [vicgalle/gpt2-open-instruct-v1](https://huggingface.co/vicgalle/gpt2-open-instruct-v1) on the gsm8k dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.3966
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0005
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+ - train_batch_size: 16
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  - eval_batch_size: 1
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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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  - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 20
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 468 | 2.5579 |
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+ | 2.859 | 2.0 | 936 | 2.5018 |
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+ | 2.6455 | 3.0 | 1404 | 2.4752 |
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+ | 2.6025 | 4.0 | 1872 | 2.4590 |
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+ | 2.5777 | 5.0 | 2340 | 2.4473 |
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+ | 2.5557 | 6.0 | 2808 | 2.4388 |
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+ | 2.538 | 7.0 | 3276 | 2.4309 |
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+ | 2.5246 | 8.0 | 3744 | 2.4236 |
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+ | 2.514 | 9.0 | 4212 | 2.4186 |
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+ | 2.5059 | 10.0 | 4680 | 2.4159 |
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+ | 2.4944 | 11.0 | 5148 | 2.4107 |
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+ | 2.4874 | 12.0 | 5616 | 2.4078 |
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+ | 2.4862 | 13.0 | 6084 | 2.4053 |
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+ | 2.475 | 14.0 | 6552 | 2.4027 |
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+ | 2.4716 | 15.0 | 7020 | 2.4008 |
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+ | 2.4716 | 16.0 | 7488 | 2.3995 |
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+ | 2.4704 | 17.0 | 7956 | 2.3985 |
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+ | 2.4648 | 18.0 | 8424 | 2.3973 |
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+ | 2.4634 | 19.0 | 8892 | 2.3968 |
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+ | 2.459 | 20.0 | 9360 | 2.3966 |
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  ### Framework versions
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