Lalith16 commited on
Commit
585f4ce
1 Parent(s): 6b54a3a

End of training

Browse files
README.md CHANGED
@@ -2,6 +2,8 @@
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  license: mit
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  base_model: HuggingFaceH4/zephyr-7b-beta
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  tags:
 
 
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  - generated_from_trainer
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  model-index:
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  - name: results
@@ -14,6 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  # results
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  This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
 
 
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  ## Model description
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@@ -32,22 +36,34 @@ 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: 0.0002
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  - train_batch_size: 4
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  - eval_batch_size: 8
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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: constant
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  - lr_scheduler_warmup_ratio: 0.03
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- - num_epochs: 3
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  ### Training results
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  ### Framework versions
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  - Transformers 4.35.2
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- - Pytorch 2.1.0+cu118
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- - Datasets 2.15.0
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  - Tokenizers 0.15.0
 
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  license: mit
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  base_model: HuggingFaceH4/zephyr-7b-beta
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  tags:
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+ - trl
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+ - sft
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  - generated_from_trainer
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  model-index:
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  - name: results
 
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  # results
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  This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4427
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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: 0.00025
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  - train_batch_size: 4
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  - eval_batch_size: 8
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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: constant
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  - lr_scheduler_warmup_ratio: 0.03
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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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+ | 0.6943 | 0.5 | 50 | 0.6478 |
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+ | 0.5485 | 1.0 | 100 | 0.5314 |
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+ | 0.4163 | 1.5 | 150 | 0.5019 |
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+ | 0.3924 | 2.0 | 200 | 0.4376 |
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+ | 0.3311 | 2.5 | 250 | 0.4994 |
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+ | 0.3167 | 3.0 | 300 | 0.4327 |
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+ | 0.2694 | 3.5 | 350 | 0.4408 |
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+ | 0.2475 | 4.0 | 400 | 0.4265 |
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+ | 0.2271 | 4.5 | 450 | 0.4136 |
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+ | 0.2442 | 5.0 | 500 | 0.4427 |
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  ### Framework versions
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  - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.1
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  - Tokenizers 0.15.0
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@@ -8,22 +8,25 @@
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  "peft_type": "LORA",
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  "target_modules": [
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+ "k_proj",
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