vignesh2404/vignesh-gpt
Browse files- README.md +16 -16
- adapter_config.json +2 -2
- adapter_model.safetensors +2 -2
- runs/Dec03_18-09-26_decoders-HP-Z2-Tower-G9-Workstation-Desktop-PC/events.out.tfevents.1733229566.decoders-HP-Z2-Tower-G9-Workstation-Desktop-PC.242060.2 +3 -0
- runs/Dec03_18-36-24_decoders-HP-Z2-Tower-G9-Workstation-Desktop-PC/events.out.tfevents.1733231184.decoders-HP-Z2-Tower-G9-Workstation-Desktop-PC.242060.3 +3 -0
- runs/Dec03_18-59-17_decoders-HP-Z2-Tower-G9-Workstation-Desktop-PC/events.out.tfevents.1733232557.decoders-HP-Z2-Tower-G9-Workstation-Desktop-PC.242060.4 +3 -0
- training_args.bin +1 -1
README.md
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---
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base_model:
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library_name: peft
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license:
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tags:
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- generated_from_trainer
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model-index:
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@@ -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 [
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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### Training results
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| Training Loss | Epoch
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### Framework versions
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---
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base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
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library_name: peft
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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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: 0.5838
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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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| 1.3788 | 1.0 | 134 | 1.1852 |
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| 1.1719 | 2.0 | 268 | 1.0125 |
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| 1.0327 | 3.0 | 402 | 0.8912 |
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| 0.9163 | 4.0 | 536 | 0.8010 |
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| 0.8256 | 5.0 | 670 | 0.7345 |
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| 0.7605 | 6.0 | 804 | 0.6839 |
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| 0.7048 | 7.0 | 938 | 0.6426 |
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| 0.6641 | 8.0 | 1072 | 0.6137 |
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| 0.636 | 9.0 | 1206 | 0.5929 |
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| 0.6089 | 10.0 | 1340 | 0.5838 |
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### Framework versions
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "
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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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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ",
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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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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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training_args.bin
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