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shawgpt-ft

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datajose/pruebas-ft

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  1. README.md +81 -0
  2. adapter_config.json +27 -0
  3. adapter_model.safetensors +3 -0
  4. emissions.csv +14 -0
  5. runs/Mar09_16-32-46_datajose/events.out.tfevents.1710012779.datajose.4168.0 +3 -0
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README.md ADDED
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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: []
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+ ---
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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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+
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+ # shawgpt-ft
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+
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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: 3.1762
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 4.0698 | 0.96 | 20 | 3.1762 |
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+ | 3.8745 | 1.98 | 41 | 3.1762 |
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+ | 3.8712 | 2.99 | 62 | 3.1762 |
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+ | 3.8708 | 4.0 | 83 | 3.1762 |
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+ | 4.0664 | 4.96 | 103 | 3.1762 |
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+ | 3.8739 | 5.98 | 124 | 3.1762 |
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+ | 3.8743 | 6.99 | 145 | 3.1762 |
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+ | 3.8717 | 8.0 | 166 | 3.1762 |
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+ | 4.0685 | 8.96 | 186 | 3.1762 |
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+ | 3.8727 | 9.98 | 207 | 3.1762 |
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+ | 3.8712 | 10.99 | 228 | 3.1762 |
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+ | 3.8747 | 12.0 | 249 | 3.1762 |
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+ | 4.0631 | 12.96 | 269 | 3.1762 |
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+ | 3.8709 | 13.98 | 290 | 3.1762 |
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+ | 3.8746 | 14.99 | 311 | 3.1762 |
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+ | 3.8771 | 16.0 | 332 | 3.1762 |
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+ | 4.0657 | 16.96 | 352 | 3.1762 |
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+ | 3.8752 | 17.98 | 373 | 3.1762 |
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+ | 3.8724 | 18.99 | 394 | 3.1762 |
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+ | 3.7421 | 19.28 | 400 | 3.1762 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.9.0
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+ - Transformers 4.38.1
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.14.7
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+ - Tokenizers 0.15.2
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+ "loftq_config": {},
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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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