Commit
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Parent(s):
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anmolshah03/anmolgpt-ft
Browse files- README.md +72 -0
- adapter_config.json +28 -0
- adapter_model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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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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- name: shawgpt-ft
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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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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: 1.7214
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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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: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 2
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 4.5914 | 0.9231 | 3 | 3.9659 |
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| 4.0447 | 1.8462 | 6 | 3.4517 |
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| 3.4652 | 2.7692 | 9 | 2.9897 |
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| 2.2432 | 4.0 | 13 | 2.5410 |
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| 2.6329 | 4.9231 | 16 | 2.2707 |
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| 2.296 | 5.8462 | 19 | 2.0707 |
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| 2.0299 | 6.7692 | 22 | 1.8885 |
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| 1.4119 | 8.0 | 26 | 1.7684 |
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| 1.7939 | 8.9231 | 29 | 1.7264 |
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| 1.2507 | 9.2308 | 30 | 1.7214 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.2
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- Pytorch 2.3.1+cu118
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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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": "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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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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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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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3e5ef883a42363bf3f696ee4fcbd66f0e3cd08262d0080007de698bf422ac839
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size 8397056
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c2303798c1cb2f879067ba9d167cfc0b2c1184fba99b143d549440f54aa352e5
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size 5048
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