End of training
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README.md
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---
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library_name: peft
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-
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base_model: openlm-research/open_llama_3b
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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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- Paladiso/
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model-index:
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- name:
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results: []
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---
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@@ -21,18 +20,18 @@ should probably proofread and complete it, then remove this comment. -->
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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: Paladiso/
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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: Paladiso/
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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: 0.
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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: Korabbit/llama-2-ko-7b
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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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- Paladiso/dataset_6f876187-6d0a-4410-b9c7-16623cec1fad
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model-index:
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- name: 30353663-cac7-44d6-a6f6-fbfa5b116bba
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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: Korabbit/llama-2-ko-7b
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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: Paladiso/dataset_6f876187-6d0a-4410-b9c7-16623cec1fad
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type:
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field_input: Description
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field_instruction: Prompt
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field_output: GT
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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: Paladiso/30353663-cac7-44d6-a6f6-fbfa5b116bba
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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: 6f876187-6d0a-4410-b9c7-16623cec1fad
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wandb_project: Gradients-On-Demand
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wandb_run: your_name
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wandb_runid: 6f876187-6d0a-4410-b9c7-16623cec1fad
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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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# 30353663-cac7-44d6-a6f6-fbfa5b116bba
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This model is a fine-tuned version of [Korabbit/llama-2-ko-7b](https://huggingface.co/Korabbit/llama-2-ko-7b) on the Paladiso/dataset_6f876187-6d0a-4410-b9c7-16623cec1fad dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7657
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 6.9731 | 0.0110 | 3 | 6.6195 |
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| 4.871 | 0.0220 | 6 | 3.0740 |
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| 1.0696 | 0.0329 | 9 | 0.7657 |
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### Framework versions
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