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geeknix
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mistral_instruct_generation

Text Generation
PEFT
TensorBoard
Safetensors
trl
sft
Generated from Trainer
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geeknix/geeknix_mistral_instruct_test_final

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Files changed (4) hide show
  1. README.md +7 -8
  2. adapter_model.safetensors +1 -1
  3. runs/May31_23-54-15_25b160f765e5/events.out.tfevents.1717199669.25b160f765e5.405.0 +3 -0
  4. training_args.bin +2 -2
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: apache-2.0
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- library_name: transformers
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  tags:
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  - trl
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  - sft
@@ -11,7 +11,6 @@ datasets:
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  model-index:
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  - name: mistral_instruct_generation
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  results: []
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- pipeline_tag: text-generation
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -21,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the generator dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7042
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  ## Model description
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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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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:------:|:----:|:---------------:|
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- | 0.9489 | 0.0524 | 11 | 0.7042 |
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  ### Framework versions
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  - PEFT 0.11.1
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  - Transformers 4.41.1
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- - Pytorch 2.1.2
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  ---
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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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  model-index:
12
  - name: mistral_instruct_generation
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  results: []
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4619
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  ## Model description
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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: 2
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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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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.5925 | 0.05 | 42 | 0.4619 |
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  ### Framework versions
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  - PEFT 0.11.1
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  - Transformers 4.41.1
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+ - Pytorch 2.3.0+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
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