Instructions to use Aivesa/c54c306a-c851-4242-bb27-3011d64be847 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Aivesa/c54c306a-c851-4242-bb27-3011d64be847 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "Aivesa/c54c306a-c851-4242-bb27-3011d64be847") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
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---
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library_name: peft
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base_model:
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tags:
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- axolotl
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- generated_from_trainer
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datasets:
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- Aivesa/
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model-index:
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- name:
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results: []
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---
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axolotl version: `0.6.0`
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```yaml
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adapter: lora
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base_model:
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bf16: auto
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chat_template: llama3
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dataset_prepared_path: /workspace/axolotl/data/prepared
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datasets:
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- ds_type: json
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format: custom
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path: Aivesa/
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type:
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field_input:
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field_instruction:
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field_output:
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system_format: '{system}'
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system_prompt: ''
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debug: null
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gradient_accumulation_steps: 4
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gradient_checkpointing: false
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group_by_length: false
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hub_model_id: Aivesa/
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hub_private_repo: true
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hub_repo: null
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hub_strategy: checkpoint
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val_set_size: 0.05
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wandb_entity: null
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wandb_mode: online
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wandb_name:
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wandb_project: Gradients-On-Demand
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wandb_run: your_name
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wandb_runid:
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warmup_steps: 10
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weight_decay: 0.0
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xformers_attention: null
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</details><br>
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#
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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: 11.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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### Framework versions
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---
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library_name: peft
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base_model: peft-internal-testing/tiny-dummy-qwen2
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tags:
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- axolotl
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- generated_from_trainer
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datasets:
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- Aivesa/dataset_d1e7b285-efbb-4369-bed7-57c1a3753b0b
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model-index:
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- name: c54c306a-c851-4242-bb27-3011d64be847
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results: []
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---
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axolotl version: `0.6.0`
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```yaml
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adapter: lora
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base_model: peft-internal-testing/tiny-dummy-qwen2
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bf16: auto
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chat_template: llama3
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dataset_prepared_path: /workspace/axolotl/data/prepared
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datasets:
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- ds_type: json
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format: custom
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path: Aivesa/dataset_d1e7b285-efbb-4369-bed7-57c1a3753b0b
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type:
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field_input: raw_text
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field_instruction: tokenized
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field_output: lemmatized
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system_format: '{system}'
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system_prompt: ''
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debug: null
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gradient_accumulation_steps: 4
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gradient_checkpointing: false
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group_by_length: false
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hub_model_id: Aivesa/c54c306a-c851-4242-bb27-3011d64be847
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hub_private_repo: true
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hub_repo: null
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hub_strategy: checkpoint
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val_set_size: 0.05
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wandb_entity: null
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wandb_mode: online
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wandb_name: d1e7b285-efbb-4369-bed7-57c1a3753b0b
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wandb_project: Gradients-On-Demand
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wandb_run: your_name
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wandb_runid: d1e7b285-efbb-4369-bed7-57c1a3753b0b
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warmup_steps: 10
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weight_decay: 0.0
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xformers_attention: null
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</details><br>
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# c54c306a-c851-4242-bb27-3011d64be847
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This model is a fine-tuned version of [peft-internal-testing/tiny-dummy-qwen2](https://huggingface.co/peft-internal-testing/tiny-dummy-qwen2) on the Aivesa/dataset_d1e7b285-efbb-4369-bed7-57c1a3753b0b dataset.
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It achieves the following results on the evaluation set:
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- Loss: 11.9475
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 11.9458 | 0.0014 | 3 | 11.9480 |
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| 11.9498 | 0.0027 | 6 | 11.9478 |
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| 11.9488 | 0.0041 | 9 | 11.9475 |
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### Framework versions
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