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shawgpt-ft

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avramesh/ft-attempt1

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Files changed (8) hide show
  1. README.md +18 -16
  2. adapter_config.json +1 -1
  3. adapter_model.safetensors +1 -1
  4. runs/Jul05_16-10-38_palomino/events.out.tfevents.1720195839.palomino.761712.0 +3 -0
  5. runs/Jul05_16-15-38_palomino/events.out.tfevents.1720196138.palomino.761985.0 +3 -0
  6. runs/Jul05_16-18-14_palomino/events.out.tfevents.1720196294.palomino.762255.0 +3 -0
  7. runs/Jul05_16-19-54_palomino/events.out.tfevents.1720196394.palomino.762468.0 +3 -0
  8. training_args.bin +2 -2
README.md CHANGED
@@ -1,9 +1,9 @@
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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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  - generated_from_trainer
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- base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
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  model-index:
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  - name: shawgpt-ft
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  results: []
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # shawgpt-ft
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- This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.7323
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  ## Model description
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@@ -49,22 +49,24 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 4.1166 | 0.8 | 1 | 3.3662 |
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- | 4.0433 | 1.6 | 2 | 3.3124 |
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- | 3.8655 | 2.4 | 3 | 3.1827 |
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- | 1.807 | 4.0 | 5 | 2.9565 |
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- | 3.6058 | 4.8 | 6 | 2.8779 |
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- | 3.2678 | 5.6 | 7 | 2.8191 |
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- | 3.0625 | 6.4 | 8 | 2.7742 |
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- | 1.5177 | 8.0 | 10 | 2.7323 |
 
 
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  ### Framework versions
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  - PEFT 0.11.1
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- - Transformers 4.40.2
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  - Pytorch 2.1.0+cu121
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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: llama3
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  library_name: peft
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  tags:
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  - generated_from_trainer
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+ base_model: meta-llama/Meta-Llama-3-8B-Instruct
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  model-index:
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  - name: shawgpt-ft
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  results: []
 
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  # shawgpt-ft
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+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.3855
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 4.0204 | 0.9231 | 3 | 3.4582 |
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+ | 3.8317 | 1.8462 | 6 | 3.2753 |
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+ | 3.6194 | 2.7692 | 9 | 3.1305 |
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+ | 2.5725 | 4.0 | 13 | 2.9379 |
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+ | 3.2435 | 4.9231 | 16 | 2.7861 |
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+ | 3.0346 | 5.8462 | 19 | 2.6554 |
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+ | 2.8818 | 6.7692 | 22 | 2.5453 |
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+ | 2.0646 | 8.0 | 26 | 2.4340 |
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+ | 2.6678 | 8.9231 | 29 | 2.3907 |
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+ | 1.8536 | 9.2308 | 30 | 2.3855 |
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  ### Framework versions
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  - PEFT 0.11.1
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+ - Transformers 4.42.3
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  - Pytorch 2.1.0+cu121
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+ - Datasets 2.20.0
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  - Tokenizers 0.19.1
adapter_config.json CHANGED
@@ -1,7 +1,7 @@
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  "bias": "none",
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  "fan_in_fan_out": false,
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  "inference_mode": true,
 
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  "bias": "none",
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  "fan_in_fan_out": false,
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  "inference_mode": true,
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