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Mistral_instruct_latest

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codegood/AWS_Mistral_SC/

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Files changed (7) hide show
  1. README.md +14 -15
  2. adapter_config.json +6 -5
  3. adapter_model.safetensors +2 -2
  4. special_tokens_map.json +22 -4
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +22 -306
  7. training_args.bin +2 -2
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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- license: other
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- base_model: microsoft/phi-1_5
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,9 +13,9 @@ 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 [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2032
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  ## Model description
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@@ -41,24 +41,23 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_ratio: 0.05
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- - num_epochs: 3.0
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.7562 | 0.39 | 500 | 0.4813 |
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- | 0.71 | 0.77 | 1000 | 0.4007 |
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- | 0.6006 | 1.16 | 1500 | 0.3466 |
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- | 0.4935 | 1.55 | 2000 | 0.2830 |
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- | 0.5042 | 1.93 | 2500 | 0.2403 |
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- | 0.356 | 2.32 | 3000 | 0.2103 |
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- | 0.3393 | 2.71 | 3500 | 0.2032 |
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  ### Framework versions
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- - Transformers 4.36.0.dev0
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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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  ---
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+ license: apache-2.0
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+ base_model: bn22/Mistral-7B-Instruct-v0.1-sharded
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  tags:
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  - generated_from_trainer
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  model-index:
 
13
 
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  # results
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+ This model is a fine-tuned version of [bn22/Mistral-7B-Instruct-v0.1-sharded](https://huggingface.co/bn22/Mistral-7B-Instruct-v0.1-sharded) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.9447
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  ## Model description
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_ratio: 0.05
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+ - training_steps: 600
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.4418 | 0.07 | 100 | 2.2922 |
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+ | 2.1884 | 0.15 | 200 | 2.1105 |
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+ | 2.0871 | 0.22 | 300 | 2.0371 |
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+ | 2.011 | 0.29 | 400 | 1.9835 |
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+ | 1.9346 | 0.37 | 500 | 1.9517 |
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+ | 1.9721 | 0.44 | 600 | 1.9447 |
 
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  ### Framework versions
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+ - Transformers 4.35.2
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+ - Pytorch 2.0.0
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+ - Datasets 2.11.0
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  - Tokenizers 0.15.0
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