End of training
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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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@@ -20,18 +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: 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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saves_per_epoch: 4
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sequence_len: 512
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special_tokens:
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pad_token:
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strict: false
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tf32: false
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tokenizer_type: AutoTokenizer
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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: 1.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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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: NousResearch/CodeLlama-13b-hf
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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_4bea4578-524c-4430-8071-bbcf24df00eb
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model-index:
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- name: e2777369-66dd-42d7-90e2-868e01499551
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results: []
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---
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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: NousResearch/CodeLlama-13b-hf
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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_4bea4578-524c-4430-8071-bbcf24df00eb
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type:
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field_input: text
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field_instruction: intent
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field_output: slots
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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/e2777369-66dd-42d7-90e2-868e01499551
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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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saves_per_epoch: 4
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sequence_len: 512
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special_tokens:
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pad_token: </s>
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strict: false
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tf32: false
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tokenizer_type: AutoTokenizer
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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: 4bea4578-524c-4430-8071-bbcf24df00eb
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wandb_project: Gradients-On-Demand
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wandb_run: your_name
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wandb_runid: 4bea4578-524c-4430-8071-bbcf24df00eb
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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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# e2777369-66dd-42d7-90e2-868e01499551
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This model is a fine-tuned version of [NousResearch/CodeLlama-13b-hf](https://huggingface.co/NousResearch/CodeLlama-13b-hf) on the Aivesa/dataset_4bea4578-524c-4430-8071-bbcf24df00eb dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2549
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 13.5248 | 0.0045 | 3 | 2.8330 |
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| 12.1843 | 0.0089 | 6 | 2.5730 |
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| 6.9279 | 0.0134 | 9 | 1.2549 |
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### Framework versions
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