nthakur commited on
Commit
1c7159d
1 Parent(s): 5978a4d

Model save

Browse files
README.md CHANGED
@@ -2,16 +2,12 @@
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  license: apache-2.0
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  library_name: peft
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  tags:
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- - alignment-handbook
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- - trl
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- - sft
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- - generated_from_trainer
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  - trl
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  - sft
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  - alignment-handbook
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  - generated_from_trainer
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  datasets:
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- - nthakur/GSM8KInstruct-Parallel-instruct
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  base_model: mistralai/Mistral-7B-v0.1
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  model-index:
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  - name: mistral-7b-v0.1-sft-mix-21st-mar-v0
@@ -23,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # mistral-7b-v0.1-sft-mix-21st-mar-v0
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- This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the nthakur/GSM8KInstruct-Parallel-instruct dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0770
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  ## Model description
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@@ -44,7 +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: 3e-06
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
@@ -61,7 +57,7 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.0726 | 1.0 | 4 | 1.0770 |
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  ### Framework versions
 
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  license: apache-2.0
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  library_name: peft
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  tags:
 
 
 
 
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  - trl
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  - sft
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  - alignment-handbook
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  - generated_from_trainer
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  datasets:
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+ - generator
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  base_model: mistralai/Mistral-7B-v0.1
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  model-index:
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  - name: mistral-7b-v0.1-sft-mix-21st-mar-v0
 
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  # mistral-7b-v0.1-sft-mix-21st-mar-v0
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9775
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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: 1e-06
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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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.9321 | 1.0 | 7754 | 0.9775 |
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  ### Framework versions
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all_results.json CHANGED
@@ -5,9 +5,9 @@
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  "eval_samples": 3683,
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  "eval_samples_per_second": 4.299,
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  "eval_steps_per_second": 0.14,
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- "train_loss": 1.0347997546195984,
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- "train_runtime": 278.4186,
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- "train_samples": 698,
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- "train_samples_per_second": 0.431,
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  }
 
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  "eval_samples": 3683,
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  "eval_samples_per_second": 4.299,
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  "eval_steps_per_second": 0.14,
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+ "train_loss": 0.9098342092251821,
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+ "train_runtime": 184655.0174,
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+ "train_samples": 915466,
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+ "train_samples_per_second": 1.344,
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+ "train_steps_per_second": 0.042
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  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
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  {
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  "epoch": 1.0,
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- "train_loss": 1.0347997546195984,
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- "train_runtime": 278.4186,
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- "train_samples": 698,
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- "train_samples_per_second": 0.431,
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- "train_steps_per_second": 0.014
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  }
 
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  {
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  "epoch": 1.0,
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+ "train_steps_per_second": 0.042
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  }
trainer_state.json CHANGED
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